Should Ni be always equal to the number of feature maps of the last conv layer?
Actually I would like to do cross validation for finding the best configuration of parameters (Feature maps, learning rate, dropout rate etc). In fact i build the network in order to pass all these parameters manually. Is there something like GridSearch? Are there simple example for model selection?