Softmax

A guide explains that a neuron is a weighted sum followed by a non-linear activation, without which a deep network would be a linear regression. The training workflow consists of forward pass, loss ca…

A developer implemented Sigmoid, Tanh, ReLU, Leaky ReLU, and Softmax from scratch in Python and realized that the derivative of an activation function is what actually teaches the neural network how t…