Step No. 1 here involves calculating the Calculus derivative of the output activation function, which is almost always softmax for a neural network classifier. For ordinary SE, Python code looks like: ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch.