π Challenge: Forward Propagation - 3 Layered Neural Network
Explore coding forward propagation for a three-layer neural network by applying sigmoid and softmax activation functions. This lesson guides you through implementing feedforward steps using input features, weights, and biases to understand how outputs are generated at each layer in a letter classification model.
We'll cover the following...
We'll cover the following...
Problem statement
Code the feedforward propagation algorithm for a 3 layered neural network.
π 1. Apply the sigmoid activation function to the net hidden layer outputs respectively.
π 2. ...