Deep Learning for Computer Vision

EECS 498-007 / 598-005 | University of Michigan

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Lecture 1
Course Introduction
Lecture 2
Image Classification
Lecture 3
Linear Classifiers
Lecture 4
Regularization Optimization
Lecture 5
Neural Networks
Lecture 6
Backpropagation
Lecture 7
Convolutional Networks
Lecture 8
CNN Architectures I
Lecture 9
Training Neural Networks I
Lecture 10
Training Neural Networks II
Lecture 11
CNN Architectures II
Lecture 12
Deep Learning Software
Lecture 13
Object Detection
Lecture 14
Object Detectors
Lecture 15
Image Segmentation
Lecture 16
Recurrent Networks
Lecture 17
Attention
Lecture 18
Vision Transformers
Lecture 19
Generative Models I
Lecture 20
Generative Models II
Lecture 21
Visualizing Models Generating Images
Lecture 22
Self-Supervised Learning
Lecture 23
3D vision
Lecture 24
Videos