Or maybe you want to create a #JavaScript † game on your own? :)
There is a game jam for that!
(13-26 Apr 2020)
https://t.co/dkds4Eh3dT
@Gamedevjs at @itchio by @end3r
Thanks! Just to be clear, this is an early access of the book. The book is still work in progress. We'd love to hear feedback from readers like you on how we can make the book better :)
We added an overview table to tfjs-examples, so you can find the examples of interest to you faster. It summarizes the ML problems, dataset types, model types, APIs, etc. that are covered so far.
Stay tuned as this repo expands further! #tensorflowjs ↓
https://t.co/FJbc5mNJcV
Check out this introduction to Kalimdor.js, a #typescript library for general #machinelearning focussing on simplicity, by Jason Shin. #scikitlearn for #javascript developers, #randomforest example “Typescript + Machine Learning + simplicity = Kalimdor.js” https://t.co/jEVxTZgeZq
AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method with TensorFlow.js, by @realJLin
Demo: https://t.co/wcRtNpHwjC
Code: https://t.co/2pgZtPKMop
With colab, @github and @TensorFlow.js you can train, convert and deploy a model super fast. All of this in just one notebook and solely in the browser. No GPU setup, no server for running the model on the browser.
https://t.co/hnUoZlzWGx
We are excited to announce tfjs-vis, a browser based visualization library for TensorFlow.js. It has charts to let you see the data flowing through your model, and a convenient hide-able drawer to put them in while developing your apps.
Check it out → https://t.co/qZ6uOmP9yx
We recently released TensorFlow.js v0.13 which contains significant performance improvements, complex64 dtypes, a new profiling API tf.profile, new ops, precision / recall metrics to the layers API, and much more!
Release notes here: https://t.co/LP88Jx928p
I transcribed my @OpenVisConf talk about #MachineLearning for #Visualization so you can peruse the drawings and figures at your own pace.
https://t.co/eDrQJcekNr
I'm really excited about the techniques I go over here, looking forward to sharing more of this kind of work soon!
If you are still serving uncompressed #tensorflowjs models to your clients, I would seriously recommend you to consider shrinking them. I assembled a quick and simple guide for weight quantization with tensorflowjs. #javascript#machinelearning#tensorflow https://t.co/FQZ2iVkvgS