Introduction to sltoolbox sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level com
深度学习网络matlab工具包，包含深度信度网络dbn，卷积网络cnn，sae（stacked auto-encoders）,cae(Convolutional auto-encoders)等实现。 ================================================================ Directories included in the toolbox ----------------------------------- `NN/` - A li
深度学习网络matlab工具包 Directories included in the toolbox ----------------------------------- `NN/` - A library for Feedforward Backpropagation Neural Networks `CNN/` - A library for Convolutional Neural Networks `DBN/` - A library for Deep Belief Network
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.[来自GitHub]
机器人学matlab用的工具箱，内有各种机器人学仿真计算工具函数，是学习机器人学必不可少的工具。同时还是《机器人学导论》中matlab作业题的工具。 This, the ninth release of the Toolbox, represents over fifteen years of development and a substantial level of maturity. This version captures a large number of changes and
深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。-Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural N
