Notebook 1

[stemlock]

1. Cell 1: The output of the weights/targets from the first cell is hard to read. Maybe a table that shows a direct comparison of how the model learns for each sample would be more intuitive.
2. Cell 1: Instead of using np.random.random to sample and then manually adjusting the range, we could use np.random.uniform instead ==> "np.random.uniform(low=-1, high=1, size=(4,1))"