Lecture 3: Neural Networks
Linear and multilayer Perceptron, loss functions, activation functions, pooling, weight sharing, convolutional layers, gradient descent, backpropagation.

Slides
Videos
Supplementary Slides
- Linear Models
- CNNs
Lecture Notes
Accompanying notes for this lecture can be found here.