Taygun Kekec comments

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                                            Taygun Kekec

output weight initialization in CNN

I think initializing weights to 0 is theoretically wrong (Symmetry breaking). From the reference http://ufldl.stanford.edu/wiki/index.php/Backpropagation_Algorithm "If all the parameters start off at identical values, then all the hidden layer units...

The layers of CNN

Modifying params depends on your problem and input dims. Having a very large input will require to have bigger pooling units Well, normally in the end of conv layers you...

CNN questions and discussion

Using global variables is a bad practice. What you should do is to inspect the input shape, and come up with choosing correct batchsize and numberOfChannels from the input data.

Visualising Weights learnt by CNN

for test_example_CNN of the library: Assuming you already runned the network on test data, it will contain activations of the last batch you fed into the network. The following code...

Support for non-square kernels. Added kernel_x and kernel_y variable to ...

anyone has a progress on this issue?