Programming AI
@fullstackai
Weekly newsletter on programming AI, deep learning tutorials, open source ml code, and papers. Emphasis on code. Curated by @eigenjoy
Dit vind je misschien leuk
Systematic comparison of architectural decisions for convolution networks, some surprises: arxiv.org/abs/1606.02228
RNN Backprop Through Time Equations jramapuram.github.io/ramblings/rnn-… #deeplearning
Recent work on Zoneout, a successful form of dropout regularization for RNNs: arxiv.org/abs/1606.01305
Fascinating flip: "Could a neuroscientist understand a microprocessor?" biorxiv.org/content/early/…
Differentiable memory, Turing machines & ADTs, now a diff. programming language! arxiv.org/abs/1605.06640 #dlearn #ai
An interesting new approach to one-shot learning, fresh from DeepMind: arxiv.org/pdf/1605.06065…
Torch code for Sequence-to-Sequence Learning with Attentional Neural Networks github.com/harvardnlp/seq… #deeplearning
Added example of non-visual state to learn Catcher with PLE and #keras. Visual version soon! github.com/ntasfi/PyGame-…
The state of Deep Learning frameworks, April 2016.
Calculus Learning Guide betterexplained.com/guides/calculu…
.@keunwoochoi's LSTMetallica: Generation drum tracks by learning the drum tracks of 60 Metallica songs keunwoochoi.wordpress.com/2016/02/23/lst… #deeplearning
Play with a neural network in the browser and let us know what you've learned! playground.tensorflow.org Joint work with @shancarter
playground.tensorflow.org
Tensorflow — Neural Network Playground
Tinker with a real neural network right here in your browser.
convolutional_autoencoder - Code for a convolutional autoencoder written on python, theano, lasagne, nolearn github.com/mikesj-public/…
github.com
GitHub - mikesj-public/convolutional_autoencoder: Code for a convolutional autoencoder written on...
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn - mikesj-public/convolutional_autoencoder
A Tutorial on Restricted Boltzmann Machines xiangjiang.live/2016/02/12/a-t…
PyDataset - Instant access to many datasets. github.com/iamaziz/PyData…
What can we *not* do with ML these days? reddit.com/r/MachineLearn…
anything2vec: "if you're considering the use of word embeddings: just take the plunge." lab41.org/anything2vec/
convnet-benchmarks - Benchmarks of all public open-source implementations of convnets github.com/soumith/convne…
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