
deeplearn.js
@deeplearnjs
Now TensorFlow.js. a hardware accelerated machine intelligence library for the web. Official #deeplearnjs twitter, run by @nsthorat and @dsmilkov.
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It has been a super exciting journey contributing to @deeplearnjs and really proud to see it join @TensorFlow family today! Congratulations @dsmilkov, @nsthorat, @tafsiri, @deeplearnjs! #deeplearnjs #tfjs #tensorflow
We are so excited to be joining Tensorflow as TensorFlow.js, an ecosystem of tools and libraries for machine learning in JavaScript. Find out more at js.tensorflow.org. We’re looking forward to building the next chapter of ML in JavaScript with you!
#TFDevSummit kicks off tomorrow with the Keynote at 9:30 AM PDT! Tune in for a full day of highly technical talks, demos, and conversation with the TensorFlow team and community Watch the livestream here → goo.gl/AZHgAt
Tune in to the TensorFlow developer summit tomorrow, March 30th at 10:30AM PDT to see @dsmilkov and @nsthorat give an update on deeplearn.js! Livestream URL available at: tensorflow.org/dev-summit/
Our work on "World Models" is out!🌐 Can neural network agents dream, and learn inside of their own dream worlds? Read more to find out: Full Interactive Article: goo.gl/NdajHT PDF: arxiv.org/abs/1803.10122
“GPU-accelerated Neural Networks in JavaScript” — a comparison of the main options out there towardsdatascience.com/gpu-accelerate…
@deeplearnjs & @trackingjs 6th grade science project with my son - face recognition. Inspiring other kids to dabble in ML.

Blend beats using machine learning to create music in a fun new way. Built with @deeplearnjs + Magenta → g.co/beatblender
Me: If only there was a nice write up and starter code for all this amazing Music+ML+Web coming out this week ... @tBlankensmith (two desks away): here you go! medium.com/@torinblankens…
Check out MusicVAE, project Magenta’s #machinelearning model that allows you to blend and explore musical scores. Additionally, there are 3 browser-based apps to play with, a MusicVAE package built on @deeplearnjs, along with several pre-trained models → g.co/magenta/music-….
Check out Magenta's newest model, called MusicVAE. Hear samples, generate your own music in a Colab, and learn to use their @deeplearnjs implementation, all at g.co/magenta/music-…! Here's a video, too: youtu.be/G5JT16flZwM
Lots of exciting work to share today about #MusicVAE on the #Magenta blog: a full description, a JavaScript library built on @deeplearnjs, 3 browser-based apps to try it yourself, and examples galore! g.co/magenta/music-…
Play around with @OpenAI 's new Reptile meta-learning algorithm to do few-shot learning in your browser using @deeplearnjs and @observablehq. Crazy how easy it is to implement new #DeepLearning papers in #javascript now. beta.observablehq.com/@nstrayer/rept…

New pen, The Neural Drum Machine! 🥁 Try it here: codepen.io/teropa/full/JL… This one uses the "Drums RNN" model from @TensorFlow Magenta to generate drum patterns. And, once again, @deeplearnjs + Tone.
Draw some data and train a neural network to classify it. My newest @observablehq notebook exploring #DeepLearning in the browser with @deeplearnjs. beta.observablehq.com/@nstrayer/hand… #javascript #DataScience

A neural network w/ 1 hidden layer (of infinite width) can recreate any function. Explore this property in real life by drawing your own data and using @deeplearnjs to fit a neural-net to it in an @observablehq notebook. #DeepLearning beta.observablehq.com/@nstrayer/expl…


I just published a gentle @observablehq introduction to @deeplearnjs! Along the way, the quirks of SGD became obvious since I could quickly run "experiments" by changing hyperparameters via UI controls. Data science on the web has a bright future! beta.observablehq.com/@nsthorat/intr…
I just published “Playing a game using just your camera with DeepLearnJs” medium.com/@mariannelinha…
deeplearn.js v0.5 released! Major API simplifications, eager mode, chaining, and brand new interactive API reference. Release notes: github.com/PAIR-code/deep… API reference: deeplearnjs.org/docs/api/ Send us feedback!
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