文件名称:Ver_0.72
介绍说明--下载内容来自于网络,使用问题请自行百度
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/
@cnn/adapt_dw.m
@cnn/calchx.m
@cnn/calcje.m
@cnn/check_finit_dif.m
@cnn/cnn.m
@cnn/cnn_size.m
@cnn/init.m
@cnn/sim.m
@cnn/subsasgn.m
@cnn/subsref.m
@cnn/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
readMNIST.m
readMNIST_image.m
readme.txt
rot180.m
subsample.m
tansig_mod.m
test_dgt.m
train_cnn.m
@cnn/adapt_dw.m
@cnn/calchx.m
@cnn/calcje.m
@cnn/check_finit_dif.m
@cnn/cnn.m
@cnn/cnn_size.m
@cnn/init.m
@cnn/sim.m
@cnn/subsasgn.m
@cnn/subsref.m
@cnn/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
readMNIST.m
readMNIST_image.m
readme.txt
rot180.m
subsample.m
tansig_mod.m
test_dgt.m
train_cnn.m
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