hello, thanks for your reply, but is there a substitute to convolutional neural network, in the case of a binary neural network, and if I do not want filters as parameters in my neural network, that keep updating for every image, is some work done on it?
I think the whole notion of gradient descent would be simplified by the use of a logic gate such as NAND or XOR or XNOR, because in the case of a binary neural network, one needs to take care of flipping bits from 0 to 1, or 1 to 0, or let them stay as they were, that is 1 to 1, or 0 to 0.