Join GitHub today
GitHub is home to over 28 million developers working together to host and review code, manage projects, and build software together.Sign up
Fetching latest commit…
Cannot retrieve the latest commit at this time.
This deep learning package is an extension of the Deep Learning Tutorials (www.deeplearning.net/tutorial/). This package is composed of four parts as follows. 1. Modified methods from Deep Learning Tutorials: Multi-class logistic/softmax regression: logistic_sgd.py Multilayer perceptrons (MLP): mlp.py Stacked denoising autoencoder (SdA): SdA.py Stacked contractive autoencoder (ScA): ScA.py Restricted Boltzman machine (RBM): rbm.py Deep belief network (DBN, stacked restricted Boltzman machine): DBN.py Convolutional neural network (CNN): convolutional_mlp.py 2. Our deep-feature-selection models: Deep feature selection based on MLP: deep_feat_select_mlp.py Deep feature selection based on ScA: deep_feat_select_ScA.py Deep feature selection based on DBN: deep_feat_select_DBN.py 3. A utility module for classification is included. This module is named classification.py. See the beginning of this file for usage. 4. Examples: For every methods in 1 and 2, an example is provided to demonstrate how to use it. The file names of these examples are main_[module_name].py Citation: On the way... License: See LICENSE_Original_Deep_Learning_Tutorials.txt Note, we also reserve the copyright on the part we contributed in this new package. Other Useful Information:  Deep Learning Tutorials (www.deeplearning.net/tutorial/).  http://deeplearning.cs.toronto.edu/  UFLDL Tutorial: http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial =========================================================== Contact: Yifeng Li, Ph.D Post-Doctoral Research Fellow Wasserman Lab Centre for Molecular Medicine and Therapeutics Department of Medical Genetics University of British Columbia Child and Family Research Institute Vancouver, BC, Canada Email: email@example.com, firstname.lastname@example.org Home Page: http://www.cmmt.ubc.ca/directory/faculty/yifeng-li NMF Toolbox: https://sites.google.com/site/nmftool SR Toolbox: https://sites.google.com/site/sparsereptool RLMK Toolbox: https://sites.google.com/site/rlmktool PGM Toolbox: https://sites.google.com/site/pgmtool ===========================================================