mdqyy/cnn_autopooling
Implementation of CNN which uses sorting layers and an automatically learned pooling function instead of hard coded pooling functions
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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Implementation of CNN which uses sorting layers and an automatically learned pooling function instead of hard coded pooling functions
R-CNN: Regions with Convolutional Neural Network Features
Appscio Media Processing Framework----AGMM
Public repository.