Implementation of basic Neural Network, backprop and learning algorithms in numpy.
Implementation of Deep Learning algorithms into a simple Python framework using only NumPy.
New algorithms will be implemented when I get a good grasp on those algorithms.
Implemented Algorithms:
Deep L ANN:
Forward Propagation using he, Xavier, random initialization; Normalization.
Binary Cross entropy loss, Regularization.
Backward Propagation.
Gradient Descent.