UCSD ECE 285: Introduction to Visual Learning (Spring 2024)

Date	Lecture	Materials	Assignments
Apr 2	Introduction to Visual Learning	Lecture 1
Apr 4	Image Classification: K-NN and Linear Classifier	Lecture 2
Apr 9	Multi-Layer Perceptrons and Back-Propagation	Lecture 3	Assignment 1
Apr 11	Convolutional Neural Networks 1	Lecture 4
Apr 16	Convolutional Neural Networks 2	Lecture 5
Apr 18	Tutorial on Pytorch	Tutorial Notebook	Assignment 2
Apr 23	Image Segmentation and Visualization	Lecture 7	Assignment 1 due
Apr 25	Object Detection	Lecture 8
Apr 30	Recurrent Neural Networks	Lecture 9
May 2	Video Recognition	Lecture 10	Project Proposal Due
May 7	Video Prediction	Lecture 11	Assignment 3
May 9	Self-Attention, Graph Networks, Transformer	Lecture 12	Assignment 2 due
May 14	Vision Transformer	Lecture 13
May 16	Generative Adversarial Networks	Lecture 14
May 21	Conditional GAN and Variational Auto-Encoders	Lecture 15	Assignment 4
May 23	Deep 3D Vision	Lecture 16	Assignment 3 due
May 28	Diffusion Models	Lecture 17
May 30	Multi-Task, Adaptation, Transfer Learning	Lecture 18
June 4	Self-supervised Learning	Lecture 19
June 6	Neural Radiance Fields	Lecture 20	Assignment 4 due