Lecture 2: Image Classification (K-NN, Linear Classification)

Lecture 3: Loss Functions and Optimization (Linear Classifier, Multi-Class SVM Loss, Regularization, Softmax Loss, SGD)

Lecture 4: Introduction to Neural Networks

Lecture 5: Convolutional Neural Networks

Lecture 6: Training Neural Networks I

7. Training Neural Networks II