A tiny revision of all the concepts learned in machine learning in a practical way by making a neural network from SCRATCH
Concepts learned:-
implemeting OOPs concepts, Basic calculus, creating neuron , MLP , Backpropagation , etc ....
Added a few more activation functions like sigmoid and ReLU along with tanh ...