UCSD ECE176: Introduction to Deep Learning & Applications (Winter 2025)

Date	Lecture	Materials	Assignments
Jan 7	Introduction
Jan 9	Nearest Neighbor and Linear Classifiers		Assignment 1: KNN in Numpy
Jan 10	Jupyter Notebook Tutorial
Jan 14	Linear Classifier and Optimization
Jan 16	MLP and Back-Propagation		Assignment 2: Linear Classifiers in Numpy
Jan 17	Assignment 1 Due
Jan 21	Intro to CNN and Back-Propagation with CNN
Jan 23	Different Elements in Training CNNs 1		Assignment 3: Training MLP in Numpy (Toy Dataset)
Jan 24	Assignment 2 Due
Jan 28	Different Elements in Training CNNs 2
Jan 30	Tutorial on Pytorch		Assignment 4: Training MLP in Numpy (CIFAR10)
Jan 31	Assignment 3 Due
Feb 4	Deep Network Architectures
Feb 6	Image Segmentation
Feb 7	Final Project Proposal Due
Feb 11	Visualizing Deep Networks
Feb 13	Object Detection 1: Box		Assignment 5: Pytorch CIFAR100 Classification
Feb 14	Assignment 4 Due
Feb 18	Object Detection 2: Mask and Pose
Feb 20	Recurrent Neural Networks
Feb 25	Temporal and 3D Convolution
Feb 27	Self-Attention and Transformer		Assignment 6: Pytorch Segmentation
Feb 28	Assignment 5 Due
Mar 4	Vision Transformer
Mar 6	Generative Adversarial Networks
Mar 11	Conditional Generative Adversarial Networks
Mar 13	Self-supervised Learning
Mar 14	Assignment 6 Due, Final Project Due