ANN
===

An Artificial Neural Network

Examples:
---------

    python run.py connect4
    python run.py tictactoe

To use it yourself:
-------------------

    from ann.ann import ANN
    ann = ANN(inputs=4, outputs=4, hidden=4, rows=4)
    print ann.calculate(inputs=[True, False, True, False])
    print ann.calculate(inputs=[True, False, True, False], increment=1)

If the ann does better with the second result you can mutate it:

    ann.mutate(increment=1)
    print ann.calculate(inputs=[True, False, True, False])

This should give you the exact same result as the earlier one with the increment.

PY-ANN
=====

An Artificial Neural Network

Examples:
---------

    python run.py connect4
    python run.py tictactoe

To use it yourself:
-------------------

    from ann.ann import ANN
    ann = ANN(inputs=4, outputs=4, hidden=4, rows=4)
    print ann.calculate(inputs=[True, False, True, False])
    print ann.calculate(inputs=[True, False, True, False], increment=1)

If the ann does better with the second result you can mutate it:

    ann.mutate(increment=1)
    print ann.calculate(inputs=[True, False, True, False])

This should give you the exact same result as the earlier one with the increment.

Add PY prefix to title to match repo name.
Add PY prefix to title to match repo name.