UCSD ECE 285: Introduction to Visual Learning (Spring 2025)

Date	Lecture	Materials	Assignments
Apr 1	Introduction to Visual Learning	Lecture 1
Apr 3	Image Classification: K-NN and Linear Classifier	Lecture 2
Apr 8	Multi-Layer Perceptrons and Back-Propagation	Lecture 3	Assignment 1
Apr 10	Convolutional Neural Networks 1	Lecture 4
Apr 15	Convolutional Neural Networks 2	Lecture 5
Apr 17	Tutorial on Pytorch	Tutorial Notebook	Assignment 2
Apr 22	Image Segmentation and Visualization	Lecture 7	Assignment 1 due
Apr 24	Recurrent Neural Networks	Lecture 8
Apr 29	Video Recognition	Lecture 9
May 1	Object Detection	Lecture 10	Project Proposal Due
May 6	Video Prediction	Lecture 11	Assignment 3
May 8	Self-Attention, Graph Networks, Transformer	Lecture 12	Assignment 2 due
May 13	Generative Adversarial Networks	Lecture 13
May 15	Diffusion Models	Lecture 14
May 20	Vision Transformer	Lecture 15	Assignment 4
May 22	Conditional GAN and Variational Auto-Encoders	Lecture 16	Assignment 3 due
May 27	Multi-Task, Adaptation, Transfer Learning	Lecture 17
May 29	Self-Supervised Visual Representation Learning	Lecture 18
June 3	Deep 3D Vision	Lecture 19
June 5	Neural Radiance Fields	Lecture 20	Assignment 4 due
June 11			Final Project due