An introduction to the building blocks of deep learning.
The simplest form of a neural network, a single neuron.
Introducing non-linearity to allow networks to learn complex patterns.
The two-step process of how a neural network learns from data.
Understanding what makes a neural network 'deep' and its capabilities.