文件列表:

.travis.yml (249, 2015-08-30)
CAE (0, 2015-08-30)
CAE\caeapplygrads.m (1219, 2015-08-30)
CAE\caebbp.m (917, 2015-08-30)
CAE\caebp.m (1011, 2015-08-30)
CAE\caedown.m (259, 2015-08-30)
CAE\caeexamples.m (754, 2015-08-30)
CAE\caenumgradcheck.m (3618, 2015-08-30)
CAE\caesdlm.m (845, 2015-08-30)
CAE\caetrain.m (1148, 2015-08-30)
CAE\caeup.m (489, 2015-08-30)
CAE\max3d.m (173, 2015-08-30)
CAE\scaesetup.m (1937, 2015-08-30)
CAE\scaetrain.m (270, 2015-08-30)
CNN (0, 2015-08-30)
CNN\cnnapplygrads.m (843, 2015-08-30)
CNN\cnnbp.m (3977, 2015-08-30)
CNN\cnnff.m (3848, 2015-08-30)
CNN\cnnnumgradcheck.m (3430, 2015-08-30)
CNN\cnnsetup.m (6505, 2015-08-30)
CNN\cnntest.m (427, 2015-08-30)
CNN\cnntrain.m (1954, 2015-08-30)
CNNminst.png (50465, 2015-08-30)
CNNwithRelu (0, 2015-08-30)
CNNwithRelu\CNN_Test.m (2678, 2015-08-30)
CNNwithRelu\MaxPooling.cpp (8899, 2015-08-30)
CNNwithRelu\MaxPooling.mexw64 (13312, 2015-08-30)
CNNwithRelu\ReLu.m (52, 2015-08-30)
CNNwithRelu\cnnapplygrads.m (575, 2015-08-30)
CNNwithRelu\cnnbp.m (4728, 2015-08-30)
CNNwithRelu\cnnff.m (3653, 2015-08-30)
CNNwithRelu\cnnnumgradcheck.m (3430, 2015-08-30)
CNNwithRelu\cnnsetup.m (2283, 2015-08-30)
CNNwithRelu\cnntest.m (417, 2015-08-30)
CNNwithRelu\cnntrain.m (943, 2015-08-30)
CNNwithRelu\expand.m (1958, 2015-08-30)
CNNwithRelu\expansionData.m (295, 2015-08-30)
CNNwithRelu\flipall.m (80, 2015-08-30)
... ...

# Deep-Learning-ToolBox-CNN Author: PIERRE_HAO Data: 2015/05/01 An improved version for Deep Learning Toolbox CNN 1. Add ReLu function 2. Add Max pooling function 3. Add function to read MNIST which we can get from Yann LeCun Home Page 4. Pad size 28*28 to 32*32 with value 0 5. Other minor changes which are not important 6. Add softmax 7. Add stepsize for changing learning rate @MASTERSTHESIS\{IMM2012-06284, author = "R. B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012", }

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