So you are telling me I can run tensorflow.js on the browser and use user's GPU to power my models!
Oh Yeaaaaaaaaaaah!

I was talking to a friend about the current state of machine learning through tensorflow and commented about the use of Javascript as a language.

He discarded the idea as he views Javascript as something that should only be used as a frontend technology rather than something to build backends or deep learning models.

I am thorn. I have always liked Javascript but will admit that I have used it mostly in the area of front end with very few backend instances(i did create a full stack intranet app in Express once, major success for the application it was hosting, it was a very basic api which had its own nosql db with no need to interact with the company's relational data, it was perfect for the occasion and still help maintaining it from time to time)

My boi states that node's biggest issue has always been npm and the quality of packages. I always contradict those statements by saying that if one uses community standards and the best packages then one does not need to worry about the quality(i.e mongoose over some unmaintained mongo wrapper etc)

I sometimes catch myself finding that my way of thinking adapts better to JS than it even does Python (which is his preference for deep learning) and whilst there are some beastly packages for python in terms of quality and usefulness such as matplotlib etc that one can do great things with the equivalent JS.

I mean, tensorflow.js came from the same wizards that did tensorflow (obviously) and i find the functional approach of JS to be more on par with how we develop solutions.

I am no deep learning expert, and sadly I have no professional experience with machine learning. But I venture to say that we should not cast aside the great strides that the JS community has done to the language in terms of evolution and tooling. Today's Js is not your grandaddy's Js and thinking that the language is crippled because of early iterations of the language would be severely biased.

What do you guys(maybe someone with professional experience) think of Js as a language for machine learning?

Do you think the language poses something worth considering in terms of tooling and power for ml?

can you guys show me yours & your favorite personal websites?

i need mine to be unique and POP. right now mine has a linear gradient background that changes each time with javascript to look cool, but that's pretty much it. do you guys have any ideas?

i really want the user to be able to deepfake the picture of me in it by using their camera and tensorflow.js so that the picture will change to their facial expressions, but i'm not sure how to do that yet.

I have a system design question I was hoping u guys could help me with.

So I want to make a display that shows an animated wallpaper. I want to have a camera in the display that will recognize finger gestures and will change the wallpaper accordingly (shuffle to a new one, etc.)
EX: when the current wallpaper is displaying, when the user shows the camera the peace sign, it will switch the current wallpaper to a random wallpaper.

I used tensorflow and the mediapipe hands library to get the finger gesture recognition to work. I used tensorflow, python, and openCV.

Now that the finger gesture recognition is finished, I moved to the animated wallpapers and I made a couple with p5js.

How could I best combine the two? Should I switch from tensorflow in python to tensorflow.js? Or should I find a way to re-do my animated wallpapers in python?

My original plan was having the foundation of the whole system be python. This is so I can have the finger gesture recognition run on the main thread, and have another thread deal with the wallpapers.

Let me know if u guys have any ideas or if I’m not clear. Thanks!!!

Cool TensorFlow.js project for someone who wants to learn TensorFlow and is out of imagination?

Do you know a super simple guide / tutorial / etc to learn TensorFlow.js from scratch? (for real dummies)