Weekly newsletter on programming AI, deep learning tutorials, open source ml code, and papers. Emphasis on code. Curated by @eigenjoy

Joined January 2016
43 Photos and videos
Programming AI retweeted
Systematic comparison of architectural decisions for convolution networks, some surprises: arxiv.org/abs/1606.02228
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RNN Backprop Through Time Equations jramapuram.github.io/ramblin… #deeplearning
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Escaping from Saddle Points offconvex.org/2016/03/22/sad…
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26 May 2016
Fascinating flip: "Could a neuroscientist understand a microprocessor?" biorxiv.org/content/early/20…
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Differentiable memory, Turing machines & ADTs, now a diff. programming language! arxiv.org/abs/1605.06640 #dlearn #ai
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An interesting new approach to one-shot learning, fresh from DeepMind: arxiv.org/pdf/1605.06065v1.p…

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Torch code for Sequence-to-Sequence Learning with Attentional Neural Networks github.com/harvardnlp/seq2se… #deeplearning
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23 Apr 2016
Added example of non-visual state to learn Catcher with PLE and #keras. Visual version soon! github.com/ntasfi/PyGame-Lea…
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The state of Deep Learning frameworks, April 2016.
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13 Apr 2016
Calculus Learning Guide betterexplained.com/guides/c…

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Programming AI retweeted
Play with a neural network in the browser and let us know what you've learned! playground.tensorflow.org/ Joint work with @shancarter
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Tensorflow implementation of Deep Visual Analogy-Making. github.com/carpedm20/visual-…
A Tutorial on Restricted Boltzmann Machines xiangjiang.live/2016/02/12/a…

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What can we *not* do with ML these days? reddit.com/r/MachineLearning…

anything2vec: "if you're considering the use of word embeddings: just take the plunge." lab41.org/anything2vec/
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convnet-benchmarks - Benchmarks of all public open-source implementations of convnets github.com/soumith/convnet-b…