hanjinze/NeuralNetwork
Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.
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.
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Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.
docker中文文档,docker Chinese Documation
Caffe: a Fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
My UFLDL EXERCISE CODE