I am developing a python app for neural network image processing
I am giving a dataset of what image should look like after processing Now I have 50 images of universe in training set. As an input I give blank black image, as a result I give each of my training set images.
I made 100 epochs training with 5 hidden neurons; however when I try to activate my network with different inputs, I get the same result. Seems like the output consists only of training set images layered on each other.
Here is the code and a screenshot of last activation: https://gist.github.com/anonymous/6e0e125bddcbb594c1a79c3a28d5d8af
PS: If it's still not clear what the problem is (I got warning for not being clear), I don't want to get same results obviously. The question is how to get it working.