Introduction to neural networks and their components.
The basic building blocks from a single neuron to a multi-layer network.
Introducing non-linearity with Sigmoid, Tanh, and ReLU.
The algorithm for efficiently training neural networks.
High-level overview of specialized architectures for images and sequences.