A fairly straightforward way (on a theoretical level, at least) of parallelizing artifical neural networks (ANNs) would be to divy up the batches of training examples during every epoch so that ...
I just can't understand how should I compute the output of a neural network, which contains a recurrent connection. So here is an example: (i_1,2 are the input values, w_1,2,3,r are the ...
I'm coding a neural network in C for an OCR project. Before testing with character recognition, I'm making it learn the XoR operation. Although, the results I'n getting always converges to 0.5 instead ...
This is not a theoretical question, but an actual question which will reflect my implementation in C++ of a Knowledge Representation classifier. The intended ANN is in fact a binary RBM. My data, is ...