Natural Language, NLP, Cognition, Image Recognition, Convolutional Network.
with the only addition of the non-linear sigmoid function (similar to function a) at the output to give back results within 0 and 1, and allowing for classifications rather than regressions — example: think about the result between 0 and 1 as the probability of an image to be about a dog. Starting