==== Deep Learning ====

=== Articles ===

  * A gentle introduction to auto-encoders http://nikhilbuduma.com/2015/03/10/the-curse-of-dimensionality
  * Concise introduction (and some math) on Convolutional Neural Network http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/
  * Torch vs Theano http://fastml.com/torch-vs-theano/
  * Why Deep Learning works (renormalization theory) https://charlesmartin14.wordpress.com/2015/04/01/why-deep-learning-works-ii-the-renormalization-group/
  * What information do CNN destroy as the input goes up the layers of the CNN? http://qr.ae/7XFSmw
  * Image Captioning https://pdollar.wordpress.com/2015/01/21/image-captioning/
  * Deep Learning Hardware Guide http://timdettmers.com/2015/03/09/deep-learning-hardware-guide/
  * Initiating and launching Theano in Amazon AWS, step by step guide http://blog.eduardovalle.com/tag/lenet/
  * Galaxy Zoo Kaggle competition winner's description of his strategy and experience http://benanne.github.io/2014/04/05/galaxy-zoo.html

=== Books ===
  * Deep Learning by Yoshua Bengio et al, MIT Press. Free online version http://www.iro.umontreal.ca/~bengioy/dlbook/
  * Neural Networks and Deep Learning by Michael Nielsen, Determination Press. Free online version http://neuralnetworksanddeeplearning.com/

=== Tutorials ===
  * Rolling in the deep learning (common man's guide to Deep learning) https://medium.com/the-programmable-chronicles/rolling-in-the-deep-learning-4302bd5c06da
  * Recurrent Neural Networks http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
  * Crash course in learning theory https://blogs.princeton.edu/imabandit/2015/10/13/crash-course-on-learning-theory-part-1/ (Also has part 2)

=== Courses ===
  * https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
  * https://computing.ece.vt.edu/~f15ece6504/
  * https://cs231n.github.io/
  * http://videolectures.net/deeplearning2015_montreal/

=== Datasets ===
  * Large-scale CelebFaces Attributes (CelebA) Dataset http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
  * Video Description Dataset http://www.cs.utexas.edu/users/ml/clamp/videoDescription/

=== Challenges ===
  * THUMOS Challenge Action Recognition in Temporally Untrimmed Videos http://www.thumos.info/home.html

=== Software Libraries ===
  * https://github.com/bartvm/blocks A Theano framework for building and training neural networks 
  * https://github.com/benanne/Lasagne Neural Network tools for Theano  Docs: http://lasagne.readthedocs.org/en/latest/
  * https://github.com/fchollet/keras Theano-based Deep Learning library
  * https://github.com/StartupML/Bastien-Theano-Workshop Fred's Theano Workshop
  * https://github.com/spragunr/deep_q_rl Theano-based implementation of Deep Q-learning
  * https://github.com/JonathanRaiman/theano_lstm Nano size Theano LSTM module
  * https://github.com/craffel/theano-tutorial A collection of tutorials on neural networks, using Theano
  * https://github.com/kastnerkyle/net Neural networks in Theano
  * https://github.com/markvdw/theanogp A Theano implementation of GP's using automatic differentiation.
  * https://github.com/clementfarabet/ipam-tutorials IPAM Tutorials on Theano/Torch
  * https://github.com/uoguelph-mlrg/theano_alexnet Theano-based Alexnet
  * https://github.com/mohammadpz/Recurrent-Neural-Networks Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
  * https://github.com/bartvm/blocks A Theano framework for building and training neural networks
  * https://github.com/opencog/python-destin Python implementation of the DeSTIN deep learning perception system using the Theano library
  * https://github.com/mzoehr/Theano theano patch
  * https://github.com/glorotxa/DeepANN Theano based deep ANN learning code
  * https://github.com/pakozm/ann-toolkits-comparison Experiments comparing thee toolkits: April-ANN, Torch 7, Theano
  * https://github.com/bbcrd/theano-bpr An implementation of Bayesian Personalised Ranking in Theano
  * https://github.com/bayerj/theano-rnn Recurrent neural networks with theano.
  * https://github.com/pascanur/GroundHog Library for implementing RNNs with Theano
  * https://github.com/doomie/HessianFree An implementation of the Hessian-free optimization algorithm in Theano
  * https://github.com/gwtaylor/theano-rnn Demonstration of recurrent neural network implemented with Theano
  * https://github.com/kastnerkyle/pylearn2 A Machine Learning library based on Theano
  * https://github.com/boulanni/theano-hf General purpose Hessian-free optimization in Theano
  * https://github.com/benanne/morb Modular Restricted Boltzmann Machine (RBM) implementation using Theano
  * http://joschu.github.io/

=== Startups ===
  * Nervana Systems
  * Clarifai
  * Ersatz Labs
  * MetaMind
  * Skymind
  * HyperVerge
  * Deepomatic
  * http://magizbox.com/index.php/deep-learning-company/