Implemented a basic Neural Network from scratch
The project uses vectorization to implement forward and backward propagation to implement a basic neural network.
Set following hyperparameters in proj.py
lambd --> Lambda or Regularization constant
alpha --> Alpha or Learning rate
eval --> '' or cost
'': to run main program
cost: Run cost anlaysis
epochs --> Set epoch value
For eval: cost
set the network value like: [2, 4, 3, 2]
Run Proj.py