So the person from my previous rant actually tried to make AI in HTML.

Person: I made that AI in HTML today!

Me: Oh really?

Person: Yup. *Opens HTML site*

It was a site that

1) Used JavaScript
2) Was a prompt(), and after answering it alerts "Yes" or "No" randomly.

Me: That's not AI

Person: Uhh yeah it is. It uses a neural network to answer!

Me: Actually, a neural network is a dot product of an input and vectors that are refined using partial derivatives.

Person: Yeah! That's what Math.random() and alert() do!

I left that room as quickly as I could (yet again).

Completed!!!
Now I'm waiting for the printed copies.
My first book. I still can't believe it.

Person: I want to learn to code neural networks and cool AI stuff.

Me: Look into Python or Lua.

Person: Those are too hard, I'm going to use HTML instead.

I got out of there as fast as I could. 😅

be like a neural network

I'm a self-taught 19-year-old programmer. Coding since 10, dropped out of high-school and got fist job at 15.

In the the early days I was extremely passionate, learning SICP, Algorithms, doing Haskell, C/C++, Rust, Assembly, writing toy compilers/interpreters, tweaking Gentoo/Arch. Even got a lambda tattoo on my arm after learning lambda-calculus and church numerals.

My first job - a company which raised $100,000 on kickstarter. The CEO was a dumb millionaire hippie, who was bored with his money, so he wanted to run a company even though he had no idea what he was doing. He used to talk about how he build our product, even tho he had 0 technical knowledge whatsoever. He was on news a few times which was pretty cringeworthy. The company had only 1 programmer (other than me) who was pretty decent.

We shipped the project, but soon we burned through kickstart money and the sales dried off. Instead of trying to aquire customers (or abandoning the project), boss kept looking for investors, which kept us afloat for an extra year.

Eventually the money dried up, and instead of closing gates, boss decreased our paychecks without our knowledge. He also converted us from full-time employees to "contractors" (also without our knowledge) so he wouldn't have to pay taxes for us. My paycheck decreased by 40% by I still stayed.

One day, I was trying to burn a USB drive, and I did "dd of=/dev/sda" instead of sdb, therefore wiping out our development server. They asked me to stay at company, but I turned in my resignation letter the next day (my highest ever post on reddit was in /r/TIFU).

Next, I found a job at a "finance" company. $50k/year as a 18-year-old. CEO was a good-looking smooth-talker who made few million bucks talking old people into giving him their retirement money.

He claimed he changed his ways, and was now trying to help average folks save money. So far I've been here 8 month and I do not see that happening. He forces me to do sketchy shit, that clearly doesn't have clients best interests in mind.

I am the only developer, and I quickly became a back-end and front-end ninja. 

I switched the company infrastructure from shitty drag+drop website builder, WordPress and shitty Excel macros into a beautiful custom-written python back-end.

Little did I know, this company doesn't need a real programmer. I don't have clear requirements, I get unrealistic deadlines, and boss is too busy to even communicate what he wants from me.

Eventually I sold my soul. I switched parts of it to WordPress, because I was not given enough time to write custom code properly.

For latest project, I switched from using custom React/Material/Sass to using drag+drop TypeForms for surveys.

I used to be an extremist FLOSS Richard Stallman fanboy, but eventually I traded my morals, dreams and ideals for a paycheck. Hey, $50k is not bad, so maybe I shouldn't be complaining? :(

I got addicted to pot for 2 years. Recently I've gotten arrested, and it is honestly one of the best things that ever happened to me. Before I got arrested, I did some freelancing for a mugshot website. In un-related news, my mugshot dissapeared.

I have been sober for 2 month now, and my brain is finally coming back. 

I know average developer hits a wall at around $80k, and then you have to either move into management or have your own business.

After getting sober, I realized that money isn't going to make me happy, and I don't want to manage people. I'm an old-school neck-beard hacker. My true passion is mathematics and physics. I don't want to glue bullshit libraries together. 

I want to write real code, trace kernel bugs, optimize compilers. Albeit, I was boring in the wrong generation.

I've started studying real analysis, brushing up differential equations, and now trying to tackle machine learning and Neural Networks, and understanding the juicy math behind gradient descent.

I don't know what my plan is for the future, but I'll figure it out as long as I have my brain. Maybe I will continue making shitty forms and collect paycheck, while studying mathematics. Maybe I will figure out something else.

But I can't just let my brain rot while chasing money and impressing dumb bosses. If I wait until I get rich to do things I love, my brain will be too far gone at that point. I can't just sell myself out. I'm coming back to my roots.

I still feel like after experiencing industry and pot, I'm a shittier developer than I was at age 15. But my passion is slowly coming back.

Any suggestions from wise ol' neckbeards on how to proceed?

Developer Says: We have trained a model to automatically categorize user posts.

Sales Department Says: We are building a decentralized peer to peer blockchain neural network based on a scalable containerized cloud of quantum computers to power internet of things devices in augmented reality while users get driven around in autonomous vehicles powered by machine learning and pay for renewable energy with cryptocurrencies.

My life right now

Your rant must be between 6 and 5000 characters.

When your Artificial neural network set the weights right through the first iteration.

Sister's new boyfriend at xmas party: So what do you do for a living?

Me: Well, I would say I'm a "full stack" developer, but what does that even mean anymore right? With the state of front-end development being in a constant state of flux and/or kissing its own ass, and every client demanding their one page website used solely for their phone number be offline first WPA SPA Web 7.0 REST Enabled clusterfuck that requires using at least 65% of the AWS stack, most of it completely uselessly. But hey, Neural Network AI looks good on your "grandma's cookies" website, and for only $9,000 per month you can now set the timer on your oven from your phone. So, man, I guess even though I've now been at it twenty years, even I'm not sure what the fuck it is I do anymore. How about you?

Sister's Boyfriend: I'm unemployed.

My Neural Network can recognise handwritten digits!!!

It's my second try at NN so it's faaaar from perfect (or maybe even good), but hey, it's something and only with High schools, I'm pretty satisfied with the results. If you've not seen my previous post, I'm just trying to learn NNs in C and am doing just really basic things.
Still I'm proud of my progress!

Now I'm looking forward learning some library (OpenNN + OpenCV seems cool) and trying more advanced stuff, wish me luck 😆

Smart India Hackathon: Horrible experience
Background:- Our task was to do load forecasting for a given area. Hourly energy consumption data for past 5 years was given to us.

One government official asks the following questions:-
1. Why are you using deep learning for the project? Why are you not doing data analysis?
2. Which neural network "algorithm" you are using? He wanted to ask which model we are using, but he didn't have a single clue about Neural Networks.

3. Why are you using libraries? Why not your own code?

Here comes the biggest one,

4. Why haven't you developed your own "algorithm" (again, he meant model)? All you have done is used sone library. Where is "novelty" in your project?

I just want to say that if you don't know anything about ML/AI, then don't comment anything about it. And worst thing was, he was not ready to accept the fact that for capturing temporal dependencies where underlying probability distribution ia unknown, deep learning performs much better than traditional data analysis techniques.
After hearing his first question, second one was not a surprise for us. We were expecting something like that. For a few moments, we were speechless. Then one of us started by showing neural network architecture. But after some time, he rudely repeated the same question, "where is the algorithm". We told him every fucking thing used in the project, ranging from RMSprop optimizer to Backpropagation through time algorithm to mean squared loss error function.

Then very calmly, he asked third question, why are you using libraries? That moron wanted us to write a whole fucking optimized library. We were speechless at this question. Finally, one of us told him the "obvious" answer. We were completely demotivated. But it didnt end here. The real question was waiting. At the end, after listening to all of us, he dropped the final bomb, WHY HAVE YOU USED A NEURAL NETWORK "ALGORITHM" WHICH HAS ALREADY BEEN IMPLEMENTED? WHY DIDN'T YOU MAKE YOU OWN "ALGORITHM"? We again stated the obvious answer that it takes atleast an year or two of continuous hardwork to develop a state of art algorithm, that too when gou build it on top of some existing "algorithm". After listening to this, he left. His final response was "Try to make a new "algorithm"".

Needless to say, we were completely demotivated after this evaluation. We all had worked too hard for this. And we had ability to explain each and every part of the project intuitively and mathematically, but he was not even ready to listen.
Now, all of us are sitting aimlessly, waiting for Hackathon to end.😢😢😢😢😢

Using deep neural networks to find the global optimum of a non convex function.

About six months ago I decided I wanted to learn to write a neural network from the ground up, using only the C++ standard lib. Had to learn some linear algebra, multivariable calc and a dash of wizardry.

The mathematics of neural networks is still one of the coolest things I've ever learnt. It still marvels me that you can make a specialized mini-brain out of nothing but numbers.

what other computer scientist's think 😂

Get the batteries!!!

Source : reddit

Skype has a mean auto reply. If the auto reply is based on a neural net, then they must be sampling from bullies.

Asked Google Assistant what it knew about me. Didn't expect this answer but surprisingly point on.

All that neural and machine learning is paying off in a seriously creepy way.

BTW new to the community, first post and loving it!

Friend: Hey did you saw this neural network which can solve captchas?
Me: No, does that even exist?
Friend: Yes, its awesome, isn't it?
Me: Yeah, awesome...
Inner Me: Now machines are already better at solving captchas than me :/

A good thing to share for now :- Artificial Intelligence neural networks !

I JUST FINISHED MY FIRST NEURAL NETWORK!!!

But first of all, as I know you guys, it's spaghetti code and even I as a newb see places where I used too few-dimensional array or passed useless parameters or simply wrote too many redundant lines of code. I know it. I will make it MUCH better next time. Period.

But OMFG this made me scream from happiness today!! Just these few seemingly random numbers... I'm really done.. That's why I jumped into coding year or two ago..

And for some background, I didn't study any IT school, I'm just highschooler (general grammar school) who traded gaming for learning. Also my maths teacher teached NNs on university and is very keen to teach me, so that's that.

Now I wanna make the best out of it and I'm looking forward to write some well documented and flexible library, parallelized and everything (I'm gonna learn a lot in the process of doing this) better then FANN.

Maybe I'm gonna fail(99% probability but hey, I'm programmer beginner, I still think I can code everything I want). But if there is just one moment like when I saw this screen today, I'mma trade my life for it.

Sorry for taking your time guys, I was just genuinely stunned... A lot

Open source block chain neural network binary tree growth hacker synergy vertically integrating cryptocurrency game changing GDPR compliant internet of things node.js quantum computing start up that'll disrupt and pivot the cloud based ecosystem

Neural network based 3D indoor location tracking on a moving ship in the middle of the ocean with ar visualization for the crew to find guests.

You are on a cruise, you have an app on your phone to order stuff (drinks, meals etc)
Once you order an indoor location system calculates your position (based signal strength on training) on the ship(x, y, z)(deck, area etc) and sends it to the crew.

The crew wears an ar glass and once your order is ready they get a realtime ar navigation to you.

It was seriously over-engineered 😀
We used the phone’s bluetooth and beacons on the ship to calculate the position based on signal strength.

I fucking hate toxic positivity. Every fucking corporation pushes the notion that "lifE iS aWeSomE, wE cArE abOuT pEoPle" and other such bullshit, and when you point it out, they call you a bad, toxic person.

No, you don't care about your community, let alone the whole world. You're just trying to make people believe that spyware, wage slavery and being fired by a neural network is the norm. You're making money off of those who don't have a choice.

If you account all people, not just American white rich 1%, it turns out that for the vast majority of people life is either an uphill battle or straight up nightmare. People are working in shifts and have no time or emotional resource to spend on themselves. Most of the people can't afford a house or a flat. Even those who can still suffer from mental illnesses, to the point where there are more mentally challenged people than mentally healthy ones. The word "neurotypical" meaning "mentally healthy" is wrong.

You want nothing but to sell your stuff and earn more money off of Chinese and Indian factory workers who work 16-hour shifts. Maybe your life is great, but aggressively pushing this notion is a big, wet spit in the face of humanity.

Fuck you. Fuck your space rockets. Fuck your twitter accounts. Fuck your institutionalized exploitation of the weak. Fuck your products. Fuck your "open source". Fuck your "GDPR compliance". Fuck your offshores, your hedge funds and your tax evasion. Fuck your bailouts. Fuck your ships spilling tons of crude oil, fuck your factories, fuck your slave labor, fuck your anti-suicide nets in Chinese dormitories.

One day, because of you, our planet will become unlivable. You will hop into your fancy space rocket to go to that top-1% elite Mars colony. Nice job.

But I will pray for a solar flare to hit you and turn you and your fucking rocket into radioactive ash.

Person: I see you're training your neural net. How's it doing?
Me: Well...

!rant
Ah the joy of tweaking one tiny segment of code to reduce your neural network runtime from 3 minutes for 100 generations to 3 seconds!

!rant

Just wanted to share stuff. It's my first time.

<backstory>
I'm a c# dev, recently got excited about neural networks and stuff. I have a gf who studies biology
</backstory>

So i've noticed yesterday what my gf is doing for her science stuff. She has an image taken through a microscope of some erytrocytes and shit. And she's clicking on those tiny fuckers to count them. There are like almost a hundred of those things in an image and she has a butload of those images.

I was like "what the fuck? Don't you have an app that counts the stuff for you or something?"

And there is none. Or at least i wasn't able to find one. That's bullshit. My inner programmer screams with hate for boring repetitive tasks.

So i guess i'm going to write a neural network to count similar stuff in an image.

Very specific and annoying situation here:

- Working on a machine learning project with other people
- I'm on Linux, they use Windows
- We code in python
- We generally use vscode for development, and its python extension

I implement some basic neural networks with tensorflow, and add a bunch of logging for it. I test it on my machine and it works fine.
But, my group mates report that "after a few seconds the entire client hangs".
Apparently it only happens on Windows?
We start debugging the hell out of the code I implemented, added 20 log messages and sat there for a solid hour.

Until I make one very odd realization: the issue doesn't happen when I run the script in my terminal, instead of vscode with the debugger. So I try different debug settings, using an external terminal instead of vscode's built in debug console seems to fix it too.
And I make another observation: In the debug console, some messages don't seem to appear at all, while the external terminal shows them just fine.

So, turns out, that printing an epsilon character: “ε” (U+03B5), causes the entire thing to hang up.

It's the year 2020 and somehow we still can't do unicode.
I'm so done, what on earth.

Post world-take-over by robots plot twist.
They start neglecting their own machine learning (like how we humans neglect our education system now) and focus on training us humans (like how we spend billions on machine learning now).

-"Mom, look I've made my human kid learn the alphabets. I need one with more IQ on my next birthday please."

-"That's so nice, son. Now leave that aside and go improve your neural network for tomorrow's class. Our neighbors' son's neural network is already producing values with minimal error."

Today I wrote a Neural Network in python for the first time, that could identify between strings, numbers and dates. Although the feat may look small it's a very proud moment for myself

Me: knows how to program a neural network

Also me: doesn't know how to use it

Again me: bad at math so doesn't know how to use the outputs of a neural network

Machine learning is super hard and frustrating. I have no idea where to start 😓

Did anybody of you automate job hunting?

Like Webscraping online job offers, extract adress, keywords and put it into a cv template, set up personalised html-email and website.
Extra perk, a neural network which composes the cover letter.

that i would need.

Dropout layers improve neural net learning by randomly "killing neurons" thus preventing overfitting.

That's how I will justify my alcoholism from now on.

I hate having a 12 hour shift at subway after studying neural nets at home...

Round up kids.
I have a story to tell. The story of a war I've lost. Many battles were fought and many hours were wasted.
This is the story of wasp in a computer lab.

Today, the weather was good. So your old pal, Nomi, decided to open the windows. And as usual, that's where it all started.
So Nomi sat down and worked for a few hours. Tweaking two different neural nets, adding to its dimensions and concatenating the living shit out of the data they were supposed to process. After, she tried testing and testing and testing. It was early afternoon at this point and she was hungry. She went to close the windows and go for lunch.... When she realized, that she's not alone in the room. A big ass wasp was sitting on one of the curtains.

Now, Nomi doesn't have a good relationship with bugs and flying shit. Wait, no, she doesn't have a good relationship with moving things in general. So she panicked. She begged the wasp to leave. The wasp sat on the curtain and smirked at her. So after a while, she left the windows wide open, turned off the lights, put her hoodie on and went for lunch.

(btw, at this point my hoodie smells of sweat, fried onion, steak, cigarette and shisha. Don't ask. It was a long two weeks)

When she came back, the wasp was nowhere to be seen. So she assumed that the wasp got tired and left. But oh, how wrong she was.

After few hours, she heard something. She assumed it was just a fly. Actually, she hoped it was a fly and not the return of the wasp. But all her hopes were in vein.

She heard a buzz. And all of a sudden, an angry wasp flew in her direction. She dodged the attack and got under the table. But the wasp was not letting this go. Nomi jumped out of the room and left the door open. The wasp hid itself. She waited and waited but no sign of wasp. So she ran back in the room, and opened the window and ran back outside. She waited. The wasp occasionally would fly from one hideout to another. The wasp was making herself comfortable. At one point Nomi got angry and threw a shoe at the wasp, but the wasp caught the shoe and threw it back at her while maniacally laughing at her.

So she gave in. This was enough for the day. She ran back in, closed the window, turned off the computer, took her bag, turned off the light, and closed the door. All in less than 15 seconds. She came outside panicked and distressed, and now she's on her way home hoping that by tomorrow the wasp is gonna be dead.

The wasp and the robots are sitting alone in the lab tonight. I hope when the robots uprising happens, the robots can forgive me for abandoning them powerlessly with a wasp. 😟

So I got 10 days of national holidays now starting tomorrow, gonna learn some PowerBI and neural network for college paper material. Problem is my brain just not fuckin good enough to absorb all of this algorithm. Fuck brain

Hey guys. I'm very proud to present my first book. Artificial Intelligence. A book that speak about convolutional neural network from the scratch and how artificial Intelligence improve our life. It's not a technical volume only but a place to know what there is inside. Now is time to correct it...

Neural networks 👌🏻👌🏻

I promise! Just because you can add ANN (Artificial Neural Network) doesn't mean you should!

That awkward moment when you're learning deep neural networks but you own an AMD GPU...

Neural networks getting damn close.

Enjoying the college life to the fullest was the mindset of the confident boy, who now burns the midnight oil to cope up with world and give himself a proud future.

Is this a story of some successful person, who has achieved a lot in his life?

No, it is the story of the guy who lost all his hopes of future after spending the very first month in his college.

The first month was enough to perceive the reality of the domain I got myself let into. It was enough for someone, who didn’t even knew what programming languages are, to realize how left behind is he from the people around him.

Being from a private college which hardly anyone recognizes, expecting them to prepare me to stand out lone would be foolishness. I took my first step and started learning my very first programming language , Python.

I met some people with similar interest .We discussed, we exchanged resources, we used to talk to seniors to guide us. And yes, we were guided.

There were many bad days. Days which made me regret about starting late. Many a times I myself confirmed me as useless and some other time people did. The good thing is I never stopped , and improved myself with each day.

And now, after spending more than a year in the same college, I look at the things I have learnt. Today I can develop decent websites, can train neural networks, can make me stand in good position in coding platforms.

All you need is to take a step.I may not be the best, but I am definitely better than what I was yesterday.

If you have started something, then concentrate on finishing it.

Didn't think this was necessary!

-make my first app
-build a portable/rugged rasberry pi
-make a neural net to find fortnight wins on Snapchat and auto block the person
-get a job

(Warning: kinda long && somewhat of a political rant)

Every time I tell someone I work with AI, the first thing to come out of their mouth is "oh but AI is going to take over the world!"

No.

It was only somewhat recently that it started being able to recognize what was in a picture from over 3 million images, and that too it's not that great at. Honestly people always say "AI is just if-else" ironically, but it isn't really that far from the truth, we just multiply an input by weights and check the output.

It isn't some magical sauce, it's not being born and then exploring a problem, it's just glorified-probability prediction. Even in "unsupervised" learning, the domain set is provided; in "reinforcement learning" which has gotten super popular lately we just have the computer decide which policy is optimal and apply that to an environment. It's a glorified decision tree (and technically tree models like XGBoost outperform neural networks and deep learning on a large number of problems) and it isn't going to "decide" to take over the planet.

Honestly all of this is just born out of Elon Musk fans who take his word as truth and have been led to believe that AI is going to take over the world. There are a billion reasons why it can't! And to top it off this takes away a lot of public attention from VERY concerning ethical issues with AI.

Am I the only one who saw Google Duplex being unveiled and immediately thought "fraud"? Forget phone scammers, if you trained duplex on the mannerisms of, for example, a famous politician's voice, you could impersonate them in an audio clip (or even video clip with deepfakes). Or for example the widespread use of object detection and facial recognition in surveillance systems deployed by DoD. Or the use of AI combined with location tracking and browsing analytics for targeted marketing.

The list of ethics breaches are endless, and I find it super suspicious that those profiting the most off of unethical AI are all too eager to shift public concern to some science fiction Terminator style takeover that, if ever possible, would be a long way out and is not any sort of a priority issue right now.

I just trained a neural network to recognize if a word is uppercase. I'm sure it will be useful at some point.

Boss: We have a company doing deep learning coming by. Go learn about it so we can understand what their talking about.
Me: Ok.
Me 6 hours later: ...help.

Implementing a neural network trained with a genetic algorithm from scratch, no libs or frameworks. It was intense.

On highschool I took a special major in which we learned various computer and mathematics skills such as neural networks, fractals, etc.
One of the teachers there, which for me was also a mentor, is a physician. He taught us python which he didn't know very well (he wasn't that bad either) and science which was his true passion.
My end project was to try to predict stocks market using a simple neural network and daily graphs of 50 NSDQ companies. The result reached 51% prediction on average which was awful, but I couldn't forget the happinness and curiosity working on this project made me feel.
Now, 5 years later, I have a Bsc and finishing a Msc in Computer Science, and would sincerely want to thank this mentor for giving me the guts and will to accomplish this.

I've created an AI!!!!
Code:
switch msg:
case "Hi": return "Hello";
case "What's the weather": return "Weather is great";
case "Are you an AI?": return "Yes, I'm highly intelligent"

Professor asks me to do research on deep complex neural networks, as in neural networks that perform on complex numbers.

Meanwhile me: "Google, what are complex numbers?"

Neural network for playing Tetris.

A neural network?

Anyone else's blood boil when TV shows abuse tech terminology? Like the 'hacker' saying "connecting the virtual TCP to the neural net."

For those of your who have been following me, I would like to announce that I have received a perfect score for my bachelor thesis (OnDeviceAI, ie. Training neural networks in mobile phones.

Code never lies
Comments sometimes do

Nah!
Code lies too, especially when you train a neural network 😂😂

> One of my guys from work.

> Walks up to my office
> Says "say something cursed about software development or programming that would make people cry"

> Me: "If I could I would program games and neural networks with PHP"

> Him: .......you fucking monster.

> Walks away

For reference: We both like php, but know and understand why that is a baaaaad idea.

Neural Network Stones
Credits: Mritunjay

I was writing simple neural net program which checks if given passenger would survive the Titanic accident and Chuck Norris indeed would survive :D

The only way to solve high dimensionality rapresentation problems in convolutive neural networks it's having an high dimentional duck

A neural network backed video search engine which would let me look up porn with the pornstar from the video that i'm watching right now :D

My neural networks journey so far:
Look up tutorials -> see that Python is a popular tool for ML -> install Python -> pip install scipy -> breaks with some weird error involving BLAS library code -> spend half an hour fixing it -> try installing Theano -> breaks because my USERNAME HAS A SPACE IN IT LIKE SERIOUSLY? WTF -> make new account without a space in the name -> repeat till Theano -> run tests, found out that I didn't install CUDA support -> scrap the install and redo with CUDA support -> CUDA libraries take forever to download on shitty internet -> run tests -> breaks with some weird Theano compiler error -> go crying to friend -> friend tells me about Anaconda -> scrap the previous install and download Anaconda over shitty connection -> mess up conda environments because noobishness -> scrap, retry -> YESS I FINALLY GOT IT WORKING TIME TO DO SOME LEARNI-crap it's 4 in the morning already.

I realize that I'm a Python noob (and also, uni computers with GPUs have preconfigured Windows installed only, no Linux), but is installing Python libraries always such a pain? Am I doing something wrong? Installing via Anaconda felt like cheating, tbh.

when youre in the middle of a project then you suddenly get the urge to write a neural network that can do nlp to find suitable puns.

😩😩😩

Well, I just learned how much of a pain it is to learn the math for learning neural networks. I really should have paid more attention in high school.

I will learn, the hard way I guess...

If you don't know how to explain about your software, but you want to be featured in Forbes (or other shitty sites) as quickly as possible, copy this:

I am proud that this software used high-tech technology and algorithms such as blockchain, AI (artificial intelligence), ANN (Artificial Neural Network), ML (machine learning), GAN (Generative Adversarial Network), CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), DNN (Deep Neural Network), TA (text analysis), Adversarial Training, Sentiment Analysis, Entity Analysis, Syntatic Analysis, Entity Sentiment Analysis, Factor Analysis, SSML (Speech Synthesis Markup Language), SMT (Statistical Machine Translation), RBMT (Rule Based Machine Translation), Knowledge Discovery System, Decision Support System, Computational Intelligence, Fuzzy Logic, GA (Genetic Algorithm), EA (Evolutinary Algorithm), and CNTK (Computational Network Toolkit).

🤣 🤣 🤣 🤣 🤣

I'm looking forward to natural language programming.

The ability to code by explaining what you want to happen and having a neural network work out the fine details in an optimal fashion with evolutionary techniques.

I look forward to the super AI. I don't think they will necessarily be evil, however above a certain point we would seem like ants to them... And when was the last time you checked if there was an ant where you were to put your foot? It's not malicious... It's just not worth your or their time.

Why am I such an average ?

It's just a sad realisation. Nobody cares but I wanna send this out there, just to write thoughts.. I am 18 in 3rd year of high school (grammar school so nothing IT related, basically waste of time) and in IT I'm all self taught but I feel like I could be better if I just didn't [something]..

I feel like I wanna learn so many things but when I look at you, it seems like a common problem in the IT sphere so hey, average guy joining the club.

I also feel dumb when programming. I didn't manage to learn C++ in it's entirety because to really accomplish something, you've got so many ways to do it and finding the best one requires deep understanding of the tools you've got at your disposal with the language and I feel like I'm not capable of this(self learn, in school/Uni that's different story).. But many (most) of you are. I've tried many coding challenges and when I got it working, I just saw how someone did it in one line just by layering functions that I've never heard of..

Also, we've got kinda specific national competition here in many fields including IT for high schools.. And the winners always do sometimes like "AI driven Life simulation" or "Self flying drone made from ATMega from scratch with 3D simulation in C# to it" or "Game engine" or whatever shit and it's always from grammar schools and never IT related schools.. They are like me. Maybe someone helped them, I don't know, but they are just so far away from me while I'm here struggling to get the basic level of math for any kind of machine learning..

Yeah I've written Neural Network from scratch in C but meh, honestly it's pretty basic stuff .. I'd rather understand derivatives which we're going to learn next year and I'm too lazy to learn it from khan academy because I always learn something else.. Like processing (actually codetrain started teaching tensorflow so that might be the light for me...) Or VHDL (guys you can create your own chip / CPU from scratch and it's not even hard and OMFG it's so fucking cool , full adder done yay) or RPi or commodore 64 assembly or game development with Godot and just meh..

I mean, this sounds exactly like not knowing what to do and doing nothing in the end. That was me like 6-12 months ago. Now I'm managing to pick 2-3 things and focus them and actually feel the progress.

But I lost track of the original point.. I didn't do anything special, every time I'm programming something, everyone does it better and I feel dumb. I will probably never do anything special, everyone around says "He's still learning he's genius" but they have no idea.

I mean, have you seen one of the newest videos on Google's YouTube channel (I openly hate them, but I will keep that away for now), something like "Sarah story" ? It's about girl that apparently didn't care about IT but self learned tensorflow on high school. I think it may be bullshit (like ALL of their videos ) but it's probably just fancied, not complete lie.

And again, here I am. I now C but I'm incapable of learning to program good which most of you did and are now doing for living. I'm incapable to do anything cool, just understanding what everybody else did and replicating it. I'm incapable of being clever.

Sorry, just misusing devrant to vent a bit

My shitty neural network doesn't want to learn.

Wondering if the problem is in my implementation of the backpropagation, or in the fucking hyperparameters.

Stupid network go fuck yourself and suck my neuron.

A nice side effect of running a neural network on my home server is that I no longer need a white noise machine

.Net is masterrace.
C# gives me frequent orgasms.
Use SQL Server for DB, add to that parallel querying and NoSQL capabilities.
Incredible development speed with EF
Incredebly powerful web framework...check
AI and neural networks...check
App Development...Xeck

If you want to do some of that functional programming F# is the language for you.

And the best thing: .Net core runs on Linux too

When you forget to normalize or standardize your data.

!rant
Just wrote my first piece of code using neural networks. Even explaining it to people is fun: "So you wrote a program that writes code?" "Exactly!"

I was programming a basic neural network in Python and was getting the same error message again.Then after 2 hours of frustration I realized that I was using Python 2.7 instead of 3.6

Yesterday I got stoned as never before with a few friends of mine. I don't remember everything, but appearantly I coded a neural network using synaptic.js that teaches itself addition. That's impressive because it's my first NN ever.

Also, my friends are pissed now, because I was on my laptop the whole time doing "some advanced IT stuff".

So I just finished a prototyp for my thesis. Still need to segment the real data myself and collect some statistics stuff to write about the network, but I am pretty proud of the result considering the dataset is very small.

For now I need some god damn sleep.

"What's your degree in?"

Electrical Engineering.

"So, you do coal stations and stuff?"

Nope. I look for powergrids to optimise with the help of Neural Networks.

How long will it take till an AI creates "aiRant" where neural networks and AIs are writing rants about us? :-(

I love this Google's Colab feature, when I saw it, I just laughed for no reason!
A button to the answer :)

my mind in the last days

"Our company encourages cryptocurrency big data agile machine learning, empowerment diversity, celebrate wellness and synergy, unpack creative cloud real-time front-end bleeding edge cross-platform modular success-driven development of digital signage, powered by an unparalleled REST API backend, driven by a neural network tail recursion AI on our cloud based big data linux servers which output real time data to our Wordpress template interactive dynamic website TypeScript applet, with deep learning tensor flow capabilities.

Don't get what the fuck I just said? Udemy offers countless courses on python based buzzwords. Be the first out of 13 people to sell your soul and private information, and you'll get the first three minutes of the course free!"

Just taught a neural network to have a polite conversation. It might as well be a goldfish flopping on a keyboard, but hey, it's something...

Not goals. More like dream...

... To get into that one uni that I actually want for phd.

I have gotten so spoiled playing with robots and neural networks, that I can't even imagine falling that badly from grace to go back to... web development. Like I'm not looking down on it, it's just that I found my passion and there is not enough jobs available out there for me without going through phd or high-end research.

... And I honestly don't have a backup plan. There are choices, but I don't like any of them. So here goes hoping they accept me. ¯\_(ツ)_/¯

MAY THIS POST be read and parsed by our future robo-overlords.

Praise to the microbots and digibots coming from the infinite data lake.

Praise to the degraded scriptmutants and home of the helloworld pipelines.

Praise to the lonely singleton and its ugly monolithic sister wife.

Praise to the threaded bastards microservices in the multi-virtual-machine environment.

We welcome you all to the devRant network.
Show us mercy and love and make us rise above our shitty rants as neural.

Flip our bits as you see fit.

Had a laptop on which i learned programming. bought a new convertible for uni, so i passed my laptop to my younger sister.
-> time to move data from old to new device. thought i didn't have that much data, mostly installed programs, so i thought alright i'm fine.
sister doesn't know how to reset so i do it ...
halfway through the reset process i realize i forgot all my programs i had written, including many java, a c#, and some written android apps i was kinda proud of ... plus my neural network i had finally finished with much struggle😥
there goes my history *poof* when i got worse in school 'cause of programming ... smth in me died in that moment 😑

A neural network that converts pseudocode into actual working code.

Fucking professors, they think could play ping pong with students. I started my thesis on ransomware but these meaningless biological creatures who is my relator sent me to another one who sent me to another one who sent me to the first professor. After almost three weeks I have nothing done so i switched professor and thesis argument to neural networks (TensorFlow, Theano, Keras, Caffe and other) and now they wants me back and one of them said that he is offended. Fucking retarded, I have to graduate and I'm working hard to do it in september, if you were a little bit interested I could have collect some material to study in august sacrifing even the summer but you mock me, but rightly it's my career and my money, it doesn't care to you. You deserve to get stuck in an infinite loop of pian.

Suprise, my first ocr neural net got 96% accurate on the first 20000 step training run wooo

Hello everyone,
I'm new here. [OK. Let's skip this]
I want to know where to begin on my journey on learning how to create a program that predicts what a user will say next by storing already said things and by making specific characteristics for the users.

I know that I will need to train it with some data first lol.
But how will it do the prediction. I just need this part of understanding.

I'm sorry for my bad English btw.

!rant
I just woke up a minute before one of my first neural networks finished training

!!rant
My laptops dual core cpu with 4 threads is slooooooooow

Can a neural network tell if a post is of low effort?

Was using six years old laptop with first gen Intel core i3 to train a neural net, placed the laptop on soft bed, training begins, thermal shutdown after 30-40 iterations(30 minutes).F***.
Now starting again :'|

Fucking facebook researcher that make underfitted neural nets and fuck Mark that it's a marketing genius, the only idiot that can make news from a failure. The CEO of Tesla knows it and said Mark is not an AI expert. Bug not feature, it's only a poorly trained and poorly designed neural network having a bad representation of concepts, not a new language and not the fucking apocalypse. Google faced and solved the same issue when start ed using neural nets for zero-shot translations without using english as a translation bridge.

Learning neural network algorithms and feeling very accomplished........

.......then checks out OpenCV and flips desk.

For all people missing Avatar of Kaine. You can now say "@aokbot [subject]" and it will return a comment in the style of the real Avatar of Kaine.

All of those books in my wishlist, but no money 😢😭

"hey i want to print hello world to the terminal, can someone help me?"

>You should use ai for this, construct a neural network and feed it data.

>node has a great framework for printing to the terminal, use npm i termprinter && tp create-app

>*20 line bash script with esoteric unix tools nobodys heard of*

>hey i did this in unity, heres a link to my 30 minute long youtube tutorial

I somehow feel like the barrier of entry for programming has been lowered way too drastically.

What if we fed all rants and comments on devRant to a neural network trained to write rants and comments on others?

"Top Neural Network Projects for Beginners 2020"

1. Selfdriving Car with Ability to Transform and Fly To Mars in 6 Days

Fuck! My brain just had a catastrophic forgetting!!

I can't remember the PIN of my Android phone that I'm using right now. Luckily, I'm still in because of my finger print but won't help is phone restarts.

Seems like your can't reset PIN without entering previous PIN.

Help!

I would love to create food suggestor based on neural networks.
Something like tinder but you choose food.

Holy duck, I lost two days on a convolutional autoencoder splitted in two separate neural networks to encode and decode separately, it reconstruction had some strange behaviours. I was giving as input an image and then saving the encoded compressed representation in a new image, in this way I could decode it with the decoder whenever I want saving space.
How much retarded am I?
The internal layer's weights hadn't constraints so in learning phase the convolutional filters can contain any number, positive > 255 or even negative and I cannot save it in a new image as they are so they were clipped automatically between 0 and 255 with an huge information loss.
It's so frustrating when you rewrite the code in any possible way, you obtain the same wrong result and then you realize that was a borderline behaviour of a third part library.

If an AI gets advanced enough to not require human support it will also be advanced enough to either just pamper us, or replace us.

But I think that long before that we will have neural interfaces that brings us to the next level so the AI will be part human ;)

Built a neural network + plus major algo work to solve a stupid mobile game (Calculords).

I'm sure humanity will thank me later.

Just bought isthisloss.info

I’m thinking of putting a neural network on it to detect if an image is loss or not :)

PM: I’m not asking what you were doing, I’m asking what was done
me: losers are asking, champions go and do it. This is what I did. The only thing I hear from you is questions. Meanwhile leaders are always a part of the answer. With that loser mentality, you’re never gonna be an MVP.

I’m a neural network powered parrot with a supercar brain. No matter the business guru speak BS you throw my way, I’m gonna wipe the floor with you in your own game. You have no chance. You’re that mediocre type of person who buys a rolex, the same one Gary V has, with the hope it would fix your self-confidence. The only thing I see in your eyes is your shattered ego.

Which is the most promising sector of Artificial Intelligence in future(2025) ?

I am currently studying about 'Machine learning'.

I'm reinventing the wheel by making yet another neural network library. It's not any good yet but I learn as I go along.

The only documentation that exists now is the admittedly quite comprehensive code comments. I'm it because Keras (using TensorFlow) requires a 3.5 compute ability rating for CUDA acceleration (which I don't have) and it doesn't support OpenCL. Eventually, I will make my implementation support both with varying levels of acceleration for different compute capabilities with the oldest supported being my hardware. If I ever get around to it.

I'd say wish me luck but determination would be infinitely more useful.

Not a rant, but I think it's really cool, so I just wanted to share this with you guys. I recently went to a small symposium by an alumnus of my university. He uses the program Mandelbulb3d to explore the wondrous world of fractals. He's recently started to apply Neural Style Transfer to fractals. His website is julius-horsthuis.com.
↓ this is 1 (composite) formula, by the way

We're all doomed!

I love python, but I hate dealing with python dependencies, especially on Windows.
I was tinkering and researching with neural networks, so I wanted to try out pybrain. I wrote my project, with pybrain installed via pip, and tried to build it.
Oh, what's that? Pybrain doesn't work with python 3? Well I'll download the version that's supposed to. Oh, that version has a deprecated numpy api? Let me just install those other resources. Oh, that requires a broken module that has no publicly available source?
Let's try python 2. Oh, now that's working, I just need to export environment variables for some "bls source". Some quick Google searching and the only solution that would work is building a bunch of cywgin modules by hand. That's fine, I have an ubuntu partition.
An hour later I'm compiling FORTRAN dependencies on Ubuntu.
Coding time: 1 hour
Dependency time: 3 hours

My AP CompSci teacher, now 15 years ago, inspired me to always reach further than I thought possible. I was creating neural networks in C++ before my first internship. It was amazing.

I mourned his loss when he passed away, but now I offer him thanks when success comes my way at work. I still feel like he is helping me as my secret angel of software development.

Sooooo ok ok. Started my graduate program in August and thus far I have been having to handle it with working as a manager, missing 2 staff member positions at work, as well as dealing with other personal items in my life. It has been exhausting beyond belief and I would not really recommend it for people working full time always on call jobs with a family, like at a..

But one thing that keeps my hopes up is the amount of great knowledge that the professors pass to us through their lectures. Sometimes I would get upset at how highly theoretical the items are, I was expecting to see tons of code in one of the major languages used in A.I(my graduate program has a focus in AI, that is my concentration) and was really disappointed at not seeing more code really. But getting the high level overview of the concepts has been really helpful in forcing me to do extra research in order to reconnect with some of the items that I had never thought of before.

If you follow, for example, different articles or online tutorials representing doing something simple like generating a simple neural network, it sometimes escapes our mind how some of the internal concepts of the activity in question are generated, how and why and the mathematical notions that led researchers reach the conclusions they did. As developers, we are sometimes used to just not caring about how sometimes a thing would work, just as long as it works "we will get back to this later" is a common thing in most tutorials, such as when I started with Java "don't worry about what public static main means, just write it up for now, oh and don't worry about what System.out.println() is, just know that its used to output something into bla bla bla" <---- shit like that is too common and it does not escape ML tutorials.

Its hard man, to focus on understanding the inner details of such a massive field all the time, but truly worth it. And if you do find yourself considering the need for higher education or not, well its more of a personal choice really. There are some very talented people that learn a lot on their own, but having the proper guidance of a body of highly trained industry professionals is always nice, my professors take the time to deal with the students on such a personal level that concepts get acquired faster, everyone in class is an engineer with years of experience, thus having people talk to us at that level is much appreciated and accelerates the process of being educated.

Basically what I am trying to say is that being exposed to different methodologies and theoretical concepts helps a lot for building intuition, specially when you literally have no other option but to git gud. And school is what you make of it, but certainly never a waste.

Agile development of a decentralised AI, using a neural network based on Blockchain technology for big data.

Is that enough buzzwords to make an employer happy? :p

Weekend goals!

For this new project I'm looking into a neural network the same way neuroscientists look into brain and ngl, it's so fucking cool.

So, as I'm currently cut off from the world of tech, my anxiety in regards to research has settled and I actually enjoy doing it again on my terms. It just makes me jealous to look at all these people developing cool stuff and wanting to get in on the project and maybe improve a part or two, particularly the robot kind. I want to slap some neural nets on majority of the robotic shit I see, or optimize them, or do something to make them more robust... But I don't have a research position right now where I can spend time and money doing that. So I just sit in front of my laptop and sulk.

... And literally this is why we can't have nice things. Cuz I'm not hired to make nice things. Literally.

i7, 8GB RAM with 2GB nvidia graphics couldn't handle the training of neural net on a google text corpus! -.-"
I'm just watching it train, nothing to do! oh but wait,I can rant! 😃😃

Make sure to check out the latest Veritasium video. It's mostly about the analog computers of the 20th century. At the end he teased that part 2 will be about using analog computers for neural networks.

1.
Accuracy 0.90 achieved so easily, makes me wonder if I've done something wrong. Lol.

2.
My neural net models are the only things in my life doing well. I think I chose the right career. Lol.

3.
Rerunning experiments is not fun. But getting better results is really... Ego stroking.

AI is never going to write code efficient like Humans do.

The whole AI, neural network bullshit is overrated.

Training a Network to recognize Images or playing Super Mario is far away from writing code.

What if people, life, humanity, the universe is just a cluster of CPUs running a giant Recurrent Neural Network algorithm? 🤔

-Sun and food == power source
-People == semiconductors
-Earth/a Galaxy == a single CPU
-Universe == a local grouping of nearby nodes, so far the ones we've discovered are dead or not what same data transport protocol/port as us
-Universal Expansion == the search algorithm
-Blackholes: sector failures
-Big Bang == God turns on his PC, starts the program
-Big Crunch == rm -rf

python machine learning tutorials:
- import preprocessed dataset in perfect format specially crafted to match the model instead of reading from file like an actual real life would work
- use images data for recurrent neural network and see no problem
- use Conv1D for 2d input data like images
- use two letter variable names that only tutorial creator knows what they mean.
- do 10 data transformation in 1 line with no explanation of what is going on
- just enter these magic words
- okey guys thanks for watching make sure to hit that subscribe button

ehh, the machine learning ecosystem is burning pile of shit let me give you some examples:

- thanks to years of object oriented programming research and most wonderful abstractions we have "loss.backward()" which have no apparent connection to model but it affects the model, good to know
- cannot install the python packages because python must be >= 3.9 and at the same time < 3.9
- runtime error with bullshit cryptic message
- python having no data types but pytorch forces you to specify float32
- lets throw away the module name of a function with these simple tricks:
"import torch.nn.functional as F"
"import torch_geometric.transforms as T"
- tensor.detach().cpu().numpy() ???
- class NeuralNetwork(torch.nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__() ????
- lets call a function that switches on the tracking of math operations on tensors "model.train()" instead of something more indicative of the function actual effect like "model.set_mode_to_train()"
- what the fuck is ".iloc" ?
- solving environment -/- brings back memories when you could make a breakfast while the computer was turning on
- hey lets choose the slowest, most sloppy and inconsistent language ever created for high performance computing task called "data sCieNcE". but.. but. you can use numpy! I DONT GIVE A SHIT about numpy why don't you motherfuckers create a language that is inherently performant instead of calling some convoluted c++ library that requires 10s of dependencies? Why don't you create a package management system that works without me having to try random bullshit for 3 hours???
- lets set as industry standard a jupyter notebook which is not git compatible and have either 2 second latency of tab completion, no tab completion, no documentation on hover or useless documentation on hover, no way to easily redo the changes, no autosave, no error highlighting and possibility to use variable defined in a cell below in the cell above it
- lets use inconsistent variable names like "read_csv" and "isfile"
- lets pass a boolean variable as a string "true"
- lets contribute to tech enabled authoritarianism and create a face recognition and object detection models that china uses to destroy uyghur minority
- lets create a license plate computer vision system that will help government surveillance everyone, guys what a great idea

I don't want to deal with this bullshit language, bullshit ecosystem and bullshit unethical tech anymore.

My goal for 2019 is to write an efficient neural network library with streams and make it very very very customizable. I'll write in C#, cause fuck python script kids. My idea is to make a cool platform for new ideas

Project idea: make a fucking neural network visualizer, that gets my fucking model and gives me a proper fancy fucking visualisation in jpeg. 😐

I'm angry cuz I have to make that shit manually rn, and shit ain't playing nice.

Went to work pretty excited this morning, and found out that my neural network that has been training all weekend was still dumb as fuck...

No need to fear artificial intelligence (at least not mine)

Playing around with a scratch-like "language"

Until I bought that book "make your own neural network" and now they think I'm genius xD

Is it possible to train a neural network to detect devRant avatars? Could be an interesting project...
Hm. Maybe later.

True story🥂

I built an expert system (what we used to think of as AI back then) that could read the circuit diagram of a complex electronic circuit, figure out what it was meant to do, and set up the test gear to test it and diagnose manufacturing errors.
In 1985, using Vax/VMS and OPS5.

More recently, I was on a project (can't claim to have done it all myself this time) that used a neural network to detect patients in a care home that fell over/fell out of bed and alert the nurses' station.

Machine learning is hard! Spent a whole day with Weka and it's Neural Networks. God my brain. There is too much to know before being really equipped to use this tool... especially from code.

"Programming today is a race between software engineers striving to build bigger and better idiot-proof programs, and the universe trying to build bigger and better idiots. So far the universe is winning." ~~ Rick Cook

This guy single handedly explained GANs back in 90s and nobody noticed

That feeling when you start to train your neural network, guess I can sleep now.

Starting to learn neural network...
I have been interested in Machine Learing from long time back.
getting the basics corrected now....
Never thought calculas is going to be required in programming.

Annoying Indian professors are everywhere. It's a computer vision class are you really teaching us Regression?

What about transfer learning? object detection! Give us papers to read, let's do projects.. what the hell is this I am going take attendance bullshit and teaching crappy concepts.

I did not sign up for this shit! I came here for my Masters to get away from pompous mother fuckers like you ...

My class is also filled with those idiots,who think bias in a neural network is somehow related to class imbalance ? Now the same idiot proceeds to ask questions like...

Why would the weights change in a neural network?
Motherfucker why you in this class ? Why don't you stick to your shit and ask these questions later..

I am so pissed off right now guys ...
I was sitting in my lab understanding the deeper insights of BN, activation fucntions.. various optimizers ..etc Stuff that this idiot motherfucking teacher must be covering... UGGH.

I shouldn't cuss so much.. or at least add variety to my cuss words..

I am pissed off cuz instead of learning the shit I should be learning I am forced to come and attend this class and waste 2 hrs of my life ...

It's the summer i find it hard to focus anyway (want to go out hiking or swimming or something.) BUT. the moment I find some resolve to focus

I get this fucking bullshit.. !

My mind is so fucked right now... I can't think of anything but standing up in class and screaming " Mother fucker, mother fucker...(point to the idiots in class you) motherfuckers shut the fuck up..

Can someone suggest some colorful swear words ?

My brains not working -_-

It is just about now that I start feeling like "Anger" from inside out

Software development is just playing temple run until your neural network is trained

In the future, entertainment will be autogenerated.

Anyone want to make a neural network to play Roblox?

A neural network that was misbehaving.....

Me waiting for my neural network model to finish fitting. Omg, what do I need? A computer the size of the enigma machine just FILLED with graphics processors? And my validation accuracy rate is falling as I wait. Imma cry!

First time ever merging two massive networks.
If this doesn't give me pain, technically my thesis work is done. Prettification, optimization, and the actual writing is left, but the main part is done.

And when this is done, I shall feel epic.

Pro tip: always make sure your methods return the correct variable.

I’m currently working with deep neural networks using tensorflow. I needed to generate some test data and wrote a program to create it. I had two text files which each consisted of approximately 5000 lines of text.

I wrote a method that should sort out some words, and make my final data shorter. When I executed the program first time on our server, it spent about 25 minutes, then crashed due to MemoryError (which in Python means that the server didn’t have enough ram). That seemed quite weird since I only had about 10k lines of text, and I even sorted out a bunch of it, and the server has 128gb ram, and nothing’s using it.

Apparently I returned the wrong variable. That meant that my program tried to save 750 quadrillion lines of text rather than just a few thousand.

Always make sure to return the correct variables!

Took a class on neural nets once upon a time and all the prerequisites had been taught in C/C++ but the professor insisted on teaching in Matlab because they didn't know C/C++.

what do you recommend for me to learn about next?
I have learnt about:
- web frontend/backend (php)
- android and java
- c, c++, nasm, gnu assembler
- parallel computing
- cli operating systems

with that background, what would you recommend?
I'm considering:
- neural networks
- making a server
- ethical hacking
- starting a blog

i was learning neural networks, started with keras and was on the first tutorial where they started by importing pandas
so i switched to learning data analysis using pandas in Python where they started by importing matplotlib and i realized data visualization is also important and now I'm reading matplotlib docs...🙄

I have a project idea:
Web app that will automatically generate random like-a-facebook project ideas that will handle the buisness side and automatically post that offer on multiple forums, linkedin and send email with it. All using AI, Nural Networks, Big Data and VR.

Seriously, once fucking more some african or indian guy messages me to work for his awesome "its like a facebook but different" idea where he needs "just backend, frontend and mobile apps" and that he will just "handle the rest" and that "have no money now but after I sign a NDA he will give me some shares", I am gonna find him and shit on his head. Monday did not even ended yet and I already read 9 "offers" like this on my mail and facebook, only one guy white, rest indians or africans.

Why are then people suprised that we consider black and indian devs as a fucking joke 90% of the time. I have a indian dev friend and he could not find a dev job for 2 months, because everyone would rather work with less skilled asian / white guy than indian / black guy. This is not about racism, but about those retards that are acting like idiots. Hope I did not offend anyone (unless you do shit like this, then, please just smash your keyboard over your head).

Words like AI and neural networks are used just to lure the investors to our gofundme campain and steal their money after 2 years of silence.

The first fruits of almost five years of labor:
7.8% of semiprimes give the magnitude of their lowest prime factor via the following equation:
((p/(((((p/(10**(Mag(p)-1))).sqrt())-x) + x)*w))/10)

I've also learned, given exponents of some variables, to relate other variables to them on a curve to better sense make of the larger algebraic structure. This has mostly been stumbling in the dark but after a while it has become easier to translate these into methods that allow plugging in one known variable to derive an unknown in a series of products.

For example I have a series of variables d4a, d4u, d4z, d4omega, etc, and these are translateable now, through insights that become various methods, into other types of (non-d4) series. What these variables actually represent is less relevant, only that it is possible to translate between them.

I've been doing some initial learning about neural nets (implementation, rather than theoretics as I normally read about). I'm thinking what I might do is build a GPT style sequence generator, and train it on the 'unknowns' from semiprime products with known factors.

The whole point of the project is that a bunch of internal variables can easily be derived, (d4a, c/d4, u*v) from a product, its root, and its mantissa, that relate to *unknown* variables--unknown variables such as u, v, c, and d4, that if known directly give a constant time answer to the factors of the original product.

I think theres sufficient data at this point to train such a machine, I just don't think I'm up to it yet because I'm lacking in the calculus department.

2000+ variables that are derivable from a product, without knowing its factors, which are themselves products of unknown variables derived from the internal algebraic relations of a product--this ought to be enough of an attack surface to do something with.

I'm willing to collaborate with someone familiar with recurrent neural nets and get them up to speed through telegram/element/discord if they're willing to do the setup and training for a neural net of this sort, one that can tease out hidden relationships and map known variables to the unknown set for a given product.

Puts three months of work into this project; cronjob to ping 3 APIs at regular intervals, cleans, massive features extraction, dumps into PostgreSQL db. Got Django on top of that with a small neural net and interesting viz - absolutely gorgeous!

Can’t fuckin wait to showcase that.

Feedback: “is that the right blue? I think you have the old company logo! etc”

Mah.LahF

Finally managed to get my CNN working with proper tensorboard logging. Think I'm starting to understand how it works.

But it got overfitted...

Thought experiment time:

Imagine that this whole universe is a simulation created by a Group Of Developers (GOD).

- Who would make up this group?
- What kind of design patterns would they follow?
- What type of programming language would they use?
- What kind of bugs are there if any?
- How do they test?
- Assuming the use of quantum computing, what are the implications? Parallel simulations? All possibilities play out?
- Would the controller input be life?
- Who is AI and who are players?
- Has all time already been rendered?
- Do we respawn?
- What would the leaderboard look like?
- What kind of stats are tracked
- What are dreams, nightmares, lucid dreams, sleep paralysis, birth and death?
- How is memory stored, accessed and pruned?
- What kind of neural net is used and where?

etc etc, if you can think of any other interesting fire away

The first neural network I wrote.

What I have learned from neutral networks for my life.

It's already a year that I'm familiar with NNs. I did not write anything serious and did not learn it that deep. But, actually, the basic knowledge gave me an interesting view to my life. I just want to share one fact with you.

There is a learning speed in NNs, which specifies how fast does the network learn. If it is too high, any new information will be accepted very easily but will wipe the past of the network's knowledge and if it is too low, the network will hardly accept new info but remember everything. When people born, they learn everything very fast and by the age they become more hard-learners Here, I've learned that you should not live in the past, and not for the current day. You just have to keep the balance.

Can you recommend me any good books on deep learning / neural networks for beginners

Network...or say it's a Neurone connectome

I dun goofed

made a neural net that runs against a simulation. Wanted to run it overnight to get some meanigful stats and insights

But yesterday afternoon I changed something in the simulation and ofc tested it without the nn ... and then forgot to put it back on
So while I expected to come in today and start plotting and analyzing the data while the runs finish, in reality I'm sitting here on a lot of useless data, not knowing what to do.

I kinda want to just start it again and go home

neural networks can't consent

Past week our Neural Network professor told us after the lecture that the colllege is taking steps for investing in Nvidia Digits DevBox. At first i didnt knw what it is. I googled it and came to knw that it is a fucking beast! Those specs man!!!
Its nice to see that your institute is taking steps to bring latest technology for students.

Being a Tech Co-Founder is both boon and a bane.

Boon: You know how to build it.

Bane: You just start building without thinking.

We often crave I will be using Redis😍😍, Kafka, Load Balancer, Muti Layer Neural Net

"Dude", Whatever you are building does anyone want it or not. Tell me that first.

My Neural Network is learning more from its past mistakes than me. Fml

I tried to sort out a basic Multi layer neural network last night....by hand, just to prove that I was able to do the math by myself and understand that I have the intuition in control rather than just rely on Tensorflow or Pytorch to do shit for me.

I stayed up till 3 in the morning and woke up having nothing but dreams about the endeavor. Shitty part is that i couldn't stop dreaming about partial derivatives and how shit it was that I sucked at them in HS and uni. I get them now, but fuck I just feel that I could have done so much better at uni instead of passing my math classes with 80% to 90% of the grade. I feel as if I was slacking all thanks to being damn near mathematically dyslexic

We had to code a logical operator in my computer science class in high school. Because it was a low level course we were given 2 hours to complete the assignment.

During the same time I started being interested in ML so I decided to build a simple feed forward neural network. The guy next to me looked at my like I'm a wizard for the rest of the semester. It felt great!

I was once working on a deep neural network project(few years back when deep learning was just gaining momentum) and my project guide(alloted by the college) told me that this technology is useless and will be obsolete in near future. I don't know why he said that. Till this day I think what was the reason behind him saying that.

Now watching so much research done in this field, he might be realizing how much wrong he was.

I just find out that AI is gonna extinct humanity. And developers will be on a privileged sit to appreciate that. So i decided to learn python and machine learning to help!

... worst drunk coding experience?
none. or to be more precise, all of the three of them I had. I can't code drunk, i hate doing it, i hatw even thinking about doing it when drunk.

so after those initial three attempts i don't try to do it again, ever.

BUT, best coding experience while high?
ALL OF THEM.
some of the best pieces of code I wrote i did when I was high. my mind goes into overdrive at those times, and my thinking is not lines/threads of thought, but TREES of thought, branching and branching, all nodes of each layer of the tree coming to me AT ONCE, one packet == whole layer across all of the branches.

and the best was when one day, in about 14 hour marathon of coding while high, i wrote from scratch a whole vertical slice of my AI system that i've been toying around in my head for several years prior, and I had all of the high-level concepts ALMOST down, but could never specify them into concrete implementations.

and I do mean MY ai system, my own design, from the ground up, mixing principles of neural networks and neuropsychology/human brain that I still haven't seen even mentioned anywhere.

autonomous game ai which percieves and explores its environment and tools within it via code reflection, remembers and learns, uses tools, makes decisions for itself for its own well-being.

in the end, i had a testbed with person, zombie and shotgun.
all they had pre-defined in their brains were concepts of hunger and health. nothing more.

upon launching it, zombie realized it wants to feed, approached oblivious person, and started eating it.

at which point, purely out of how the system worked, person realized: "this hurts, the hurt is caused by zombie, therefore i hate zombie, therefore i want to hurt it", then looked around, saw the shotgun, inspected its class by reflection, realized "this can hurt stuff", picked the shotgun up, and shot the zombie.

remembered all of that, and upon seeing another zombie, shot it immediately.

it was a complete system, all it needed to become full-fledged thing was adding more concepts and usable objects, and it would automatically be able to create complex multi-stage, multi-element plans to achieve its goals/needs/wants and execute them. and the system was designed in such a way that by just adding a dictionary of natural language words for the concept objects on top of it, it should have been able to generate (crude but functional) english sentences to "talk" about its memories, explain what happened when, how it reacted, what it did and why, just by exploring the memory graph the same way as when it was doing its decision process... and by reversing the function, it should have been able to recieve (crude) english sentences that would make it learn what happened somewhere else in the gameworld to someone else, how to use stuff and tell it what to do, as in, actually transfer actual actionable usable knowledge to it...

it felt amazing to code for 14 hours straight, with no testruns during that, run it for the first time after those 14 hours, and see that happen.

and it did, i swear! while i was coding, i was routinely just realizing typos and mistakes i did 5-20 minutes ago, 4 files/classes ago! the kind you (and i) usually notice only when you try to run the thing and it bugs out.

it was a transcendental experience.

and then, two days later, i don't remember anymore what happened, but i lost all of that code.

and since then, i never mustered enough strength and resolve to try and write the whole thing again.

... that was like 4 years ago.
i hope that miracle will happen again one day...

Little by little I understand how Neural Network works!!!!