jmarinero/hf-rnn
Attempt to implement Hessian Free Optimization for Recurrent Neural Nets
Deep Learning Tutorial notes and code. See the wiki for more info.
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Attempt to implement Hessian Free Optimization for Recurrent Neural Nets
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
A Machine Learning library based on Theano