Description: This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others
This release includes sample of handwritten digits recognition using CNN.
- [NEApers] - evolution of neural network topology str
- [ANN-PattermRecogntion] - pattern recognition and neural network t
- [fdv41] - This procedure is mainly for face detect
- [mattrack] - With CNN and the DSP to achieve target t
- [robot_motion_planning] - This code proposes genetic algorithm (G
- [robot] - Robot tool box- provides many functions
- [VJ-DETECTOR] - Viola-Jones Face detection
- [fcnn] - Matlab Fuzzy-CNN source m- file
- [Ver_0.72] - CNN Class, ver 0.72. Change log: Ver 0.7
- [TeZhengTiQU] - Matlab-based feature extraction handwrit
File list (Check if you may need any files):
CNN for character recog
.......................\@cnn
.......................\....\adapt_dw.m
.......................\....\calchx.m
.......................\....\calcje.m
.......................\....\check_finit_dif.m
.......................\....\cnn.m
.......................\....\cnn_size.m
.......................\....\init.m
.......................\....\sim.m
.......................\....\subsasgn.m
.......................\....\subsref.m
.......................\....\train.m
.......................\back_conv2.m
.......................\back_subsample.m
.......................\cnet.mat
.......................\cnet_tool.m
.......................\eraser.gif
.......................\fastFilter2.m
.......................\preproc_data.m
.......................\preproc_image.m
.......................\rand_std.m
.......................\readMNIST.m
.......................\readMNIST_image.m
.......................\rot180.m
.......................\subsample.m
.......................\tansig_mod.m
.......................\test_dgt.m
.......................\train_cnn.m
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