Design of an one hidden layer neural network using numpy
Design of an one hidden layer shallow neural network using numpy only, X as input Matrix, Y = Output Vectorized over entire training set,
- X -- input data of shape (number of features, number of examples)
- Y -- "true" labels vector of shape (1, number of examples)