The awkwardly embarrassing moment when you realise your junior, a fresher out of college, knows more than you... Shittt... Why kids are so fucking smart these days!!! I'm looking for a place where I can go and just hide from the world. If you know one, please help.

Neural Network Stones
Credits: Mritunjay

#machinelearning #ml #datascience #tensorflow #pytorch #matrices #ds

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

Gonna start my AI journey, thinking of tensor flow then PyTorch. Any suggestions, warnings, advice?
I’m just interested in learning more about it and figure out what to use it for later.

Oh yeah Google why don't you just change the parameter order of functions, remove entire functions between minor versions, and not put a single example on your API docs? And force devs to add 30 lines of boilerplate and start an http server so I can run the debugger? Fuck tensor flow, I'm moving to pytorch.

I have one question to everyone:

I am basically a full stack developer who works with cloud technologies for platform development. For past 5-6 months I am working on product which uses machine learning algorithms to generate metadata from video.

One of the algorithm uses tensorflow to predict locale from an image. It takes an image of size ~500 kb and takes around 15 sec to predict the 5 possible locale from a pre-trained model. Now when I send more than 100 r ki requests to the code concurrently, it stops working and tensor flow throws some error. I am using a 32 core vcpu with 120 GB ram. When I ask the decision scientists from my team they say that the processing is high. A lot of calculation is happening behind the scene. It requires GPU.

As far as I understand, GPU make sense while training but while prediction or testing I do not think we will need such heavy infra. Please help me understand if I am wrong.

PS : all the decision scientists in the team basically dumb fucks, and they always have one answer use GPU.

Why the hell tensor flow taking 2 hrs of my time to compile all these from the source ....any idea??running on Mac over virtual box 4gb ram Ubuntu 16.04

Hey all, just want to say thanks in advance. Last night, my friend and I were in a project together (realtime), and I was teaching him about some basic Keras models in python, stacked with tensor flow. When we were at school the previous day, he was really interested in the actual concepts behind the code, but when we were actually making the model, he seemed kind of uninterested. I suspect he was just getting distracted, and its better to write down the code and go over it at school, but is there some way I can try and make it more fun/interesting for him?