文件名称:Ver_0.72
介绍说明－－下载内容均来自于网络，请自行研究使用
CNN Class, ver 0.72.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
First release.
This project provides matlab class for implementation of convolutional neural networks. -CNN Class, ver 0.72.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
First release.
This project provides matlab class for implementation of convolutional neural networks.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
First release.
This project provides matlab class for implementation of convolutional neural networks. -CNN Class, ver 0.72.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
First release.
This project provides matlab class for implementation of convolutional neural networks.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
@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
license.txt
preproc_data.m
preproc_image.m
rand_std.m
readme.txt
readMNIST.m
readMNIST_image.m
rot180.m
subsample.m
tansig_mod.m
test_dgt.m
train_cnn.m
....\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
license.txt
preproc_data.m
preproc_image.m
rand_std.m
readme.txt
readMNIST.m
readMNIST_image.m
rot180.m
subsample.m
tansig_mod.m
test_dgt.m
train_cnn.m