Part 3: Generic Python Implementation of Gradient Descent for NN Optimization


#1

Hello again in the series of tutorials for implementing a generic gradient descent (GD) algorithm in Python for optimizing parameters of artificial neural network (ANN) in the backpropagation phase. The GD implementation will be generic and can work with any ANN architecture.


This is a companion discussion topic for the original entry at https://blog.paperspace.com/part-3-generic-python-implementation-of-gradient-descent-for-nn-optimization