UCSD ECE176: Introduction to Deep Learning & Applications (Winter 2024)

Date	Lecture	Materials	Assignments
Jan 9	Introduction
Jan 11	Nearest Neighbor and Linear Classifiers		Assignment 1: KNN in Numpy
Jan 12	(Zoom Only) Jupyter Notebook Tutorial
Jan 16	Linear Classifier and Optimization
Jan 18	MLP and Back-Propagation		Assignment 2: Linear Classifiers in Numpy
Jan 19	Assignment 1 Due
Jan 23	Intro to CNN and Back-Propagation with CNN
Jan 25	Different Elements in Training CNNs 1		Assignment 3: Training MLP in Numpy (Toy Dataset)
Jan 26	Assignment 2 Due
Jan 30	Different Elements in Training CNNs 2
Feb 1	Tutorial on Pytorch
Feb 2	Assignment 3 Due
Feb 6	Deep Network Architectures
Feb 8	Image Segmentation		Assignment 4: Training MLP in Numpy (CIFAR10)
Feb 9	Final Project Proposal Due
Feb 13	Visualizing Deep Networks
Feb 15	Object Detection 1: Box		Assignment 5: Pytorch CIFAR100 Classification
Feb 16	Assignment 4 Due
Feb 20	Object Detection 2: Mask and Pose
Feb 22	Recurrent Neural Networks
Feb 27	Temporal and 3D Convolution
Feb 29	Self-Attention and Transformer		Assignment 6: Pytorch Segmentation
Mar 1	Assignment 5 Due
Mar 5	Vision Transformer
Mar 07	Generative Adversarial Networks
Mar 12	Conditional Generative Adversarial Networks
Mar 14	Self-supervised Learning
Mar 15	Assignment 6 Due, Final Project Due