GitHub - lmbarr/cnn_mnist: CNN MATLAB implementation (including training and forward propagation) to clasifify the MNIST handwritten numbers.

CNN MNIST TRAINING

I solved the CNN exercise from: https://github.com/amaas/stanford_dl_ex/tree/master/cnn and I added a convolutional layer to that exercise to mixed the repo with https://github.com/pmgysel/alexnet-forwardpath (the forward implementation was taken from that repo).

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
README.md		README.md
RandSimRepeticao.m		RandSimRepeticao.m
alexNetForward.m		alexNetForward.m
cargarSetTest.m		cargarSetTest.m
cargarSetTrain.m		cargarSetTrain.m
cnnConvolve.m		cnnConvolve.m
cnnCost.m		cnnCost.m
cnnExercise.m		cnnExercise.m
cnnInitParams.m		cnnInitParams.m
cnnParamsToStack.m		cnnParamsToStack.m
cnnPool.m		cnnPool.m
cnnTest.m		cnnTest.m
cnnTrain.m		cnnTrain.m
computeNumericalGradient.m		computeNumericalGradient.m
conv.m		conv.m
datosArquitectura.m		datosArquitectura.m
datosArquitecturaTest.m		datosArquitecturaTest.m
delta.m		delta.m
deltaConv.m		deltaConv.m
dimActivaciones.m		dimActivaciones.m
dimensionesActivaciones.m		dimensionesActivaciones.m
displayPrediction.m		displayPrediction.m
dropout.m		dropout.m
fc.m		fc.m
gradConv.m		gradConv.m
gradFC.m		gradFC.m
lrn.m		lrn.m
maxpool.m		maxpool.m
minFuncSGD.m		minFuncSGD.m
prepareImage.m		prepareImage.m
proImage.m		proImage.m
relu.m		relu.m
sigmoid.m		sigmoid.m
softmax.m		softmax.m
softmax_regression.m		softmax_regression.m
unPooling.m		unPooling.m