Author: Jakub Cisło
http://cislo.net.pl
jakub@cislo.net.pl

Implementation of neural network in Python using Numpy and Autograd.
Method: transformation matrix and stochastic gradient descent
Required: python2, numpy, matplotlib, autograd, MNIST and CIFAR-10 datasets

##Usage: python -i mnist.py
python -i cifar.py

###Interactive commands

• create(layers=[28*28, 100, 10], batch_size=32, dropout=0.1) - create a new model
• learn() - start the model learning
• save(name) - save the model to file
• load(name) - load the model from file
• info() - show info and statistics about the model
• best() - show best images from each category
• worst() - show worst images from each category