Hi All, In one of my neural net models, I have shared weights at several different parts of the network. For example, let's say weights are completely shared at layer 1 and layer 3. Will the gradient update from theano.grad sum the gradients of the shared weights? Or will it simply take the gradient update from layer 1?
Any insight appreciated. Thanks, John -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
