Process many images in parallel

Provide one object per NN layer and implement their functionality
separately, like in
https://www.kdnuggets.com/2019/08/numpy-neural-networks-computational-graphs.html

Each layer does not take only one image vector, but a whole 10,000 of
them, which massively speeds up the computation -- much less time spent
in Python iterations.