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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R-CNN: Regions with Convolutional Neural Network Features
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
- matlab
- tikz
- pgfplots
- octave
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)
Matlab codes that convert a RGBD image into a cad like model. This code is released as a part of my PhD dissertation.