Implementing Andrej Karpathy's micrograd

Reimplementing this as a warm up to implementing in Rust!

To experiment with a very simple binary classifier model that has randomly generated inputs and targets:

python train.py

Parameters for step size, number of epochs, activation function, etc., can be updated in train.py to see the effects of each on model convergence to targets.