Multilayer Networks: First Steps

This lecture covers the preparation for deriving the Backprop algorithm as gradient descent in layered networks, including the use of multi-layer perceptrons, supervised learning with sigmoidal output, notation in multilayer perceptrons, gradient descent, calculating the gradient steps, and applying the chain rule for weight updates.