I am begining with Convolutional Nural Networks in Matlab following the available examples.
I have prepared the input data and parameters. When I have run the training of the networks (trainNetworks) it has began with the 'input data normalization' (during more than 2 hours). Once it has been done, when it should have began the iterations, Matlab has failed (Gpu out of memory).
Would any way to have the normalization done before the training so that I could get the errors (logical errors while I am learning) without expending the previous 2 hours each time?
Thanks a lot,