Cortexsys

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fies2010

MMX Compile Error - MinGW-w64 v. 1.8 - MATLAB 2017a

1

Hi all, I had a problem compiling the mmx files with build_mmx.m Script. Error Code: ...Cortexsys\nn_core\mmx\mmx.cpp:79:16: error: expected initializer before 'teval' DWORD _stdcall teval(void* pn) Fix: In File mmx.cpp Line...

micha1511

What is the content of the function **gather.m**? I have been trying to run the example **MNIST_Deep_Classifier** but it produces the following message error: **Undefined function or variable 'endfunction'. Error...

svillaza

Tar12

Learning Rate for Gradientdescent

1

Hi Jon, When I use the normal gradientdescent function and I set alpha to zero (as your comment in that line implies that this will lead to a variable learning...

GraboDan

Providing cross-validation sets for LSTM

4

Is there a way to provide cross-validation/test sets for the LSTM training function? I can understand that the function is defined as follows: ``` gradientDescentAdaDelta(costFunc, nn, defs, Xts, Yts, yts,...

shaimaahegazy

Hello, I have been trying to create a convolutional autoencoder for use with 1D data. I can define the network, and I can run data through the untrained network, but...

Optrode

error happened when to train a mapping from input with 100 neurons to output with 4 neurons

4

The network defined as follows: input size = 100, output size = 4 ``` layers.af{1} = []; layers.sz{1} = [input_size 1 1]; layers.typ{1} = defs.TYPES.INPUT; layers.af{end+1} = ReLU(defs, []); layers.sz{end+1}...

RyanCV

Thanks for the great toolbox! I would like to build a encoder-LSTM-decoder network using your toolbox. What would be best practice to train such a network, as to my understanding...

FrankWouda

I want to use LSTM for mnsit classification , i have created two cell arrays for input data and labelled data both 0f 5000x1 , X nad y respectively ,...

zubairriaz