InBrowserAI

Interactive Machine learning explanations and tutorials. Bring deep learning to the browser! 😃 #TensorFlowJS #DeepLearning #MachineLearning #JavaScript

[Quantum Flytrap @QuantumFlytrap]

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

[Shanqing Cai @sqcai]

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 :)

[Nikhil Thorat @nsthorat]

This is a nice application of TensorFlow.js to visualize how computer vision systems in self-driving cars work!

[Shanqing Cai @sqcai]

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

[Nikhil Thorat @nsthorat]

Official headless gl implementation of TensorFlow.js coming soon :)

[Vincent Mühler @justadudewhohax]

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

[Elle Haproff @EleanorHaproff]

Keep getting asked who to follow for JS & AI/TensorFlow.js news so here's a list - @hardmaru @nsthorat @justadudewhohax @sqcai @zaidalyafeai @shiffman @dsmilkov @LabOfOz @teropa

[InBrowserAI @InBrowserAI]

Beginnings of defenses against adversarial attacks in the browser! :)

[Nikhil Thorat @nsthorat]

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

[InBrowserAI @InBrowserAI]

This weekend in Berlin our teammate @pmigdal will be talking about InBrowserAI and #TensorFlowJS. Don't miss it if you are in Berlin :)

[Piotr Migdal @pmigdal]

Giving a talk "Artificial neural networks in your browser" in #Berlin, at the Science Polish Perspectives by @polonium_org
12-13 October 2018

[Zaid زيد @zaidalyafeai]

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

[ITNEXT @ITNEXT_io]

Shrink your Tensorflow.js Web Model Size with Weight Quantization by @justadudewhohax at #ITNEXT. #Tensorflow #Javascript #WebDevelopment #MachineLearning https://t.co/0mQGiviXcK (s)

[TensorFlow @TensorFlow]

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

[Tero Parviainen @teropa]

Recording of "Musical Deep Neural Networks in the Browser" - my talk from @WebAudioConf

https://t.co/36asswqfym

[InBrowserAI @InBrowserAI]

#TensorFlowJS v0.13 is here :)

[Nikhil Thorat @nsthorat]

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

[Ian Johnson 🔬🤖 @enjalot]

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!

[Mike Heavers @HeaversMike]

Making #animtedgifs with #MachineLearning . Really enjoying the ease of use of #styletransfer within @ml5js. It's like a super intelligent photoshop filter!

[Vincent Mühler @justadudewhohax]

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

[Gogul Ilango @gogul_ilango]

You can now sync Arp and Bass with each pattern generated by #deepdrum to create song like structures that sounds professional! 🎹🥁

Demo - https://t.co/r7ADOjuCOc

#MadeWithMagenta
#DeepLearning
#MachineLearning
#javascript
#ArtificialIntelligence
#100DaysOfMLCode
@sirajraval

[Rocksetta Jeremy Ellis @rocksetta]

Really small @tensorflowjs #javascript #webcam #MachineLearning pretrained #MNIST dataset all loaded on an #android phone.

Might work on any #chrome #browser

https://t.co/KS9Umf0AFs

[InBrowserAI @InBrowserAI]

Basics on how to convert model from #Python to #TensorFlowJS.

https://t.co/IlCpaP1NFs

#DeepLearning