Wiki: CS231n Lecture 3 – Loss Functions and Optimization


#1

Topics to be covered:

  • The data-driven approach
  • K-nearest neighbor
  • Linear classification I

Lecture slides
Video
Linear classification notes
Optimization notes

Assignment:

  • Work on assignment 1
  • What is the difference between L1 and L2 regularisation?
  • What is the difference between softmax and SVM loss?

Include your answers in a reply to this thread.