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,

Design your dataset like this:

1. X -- input data of shape (number of features, number of examples)
2. Y -- "true" labels vector of shape (1, number of examples)