Skip to content

Latest commit

 

History

History
11 lines (7 loc) · 571 Bytes

README.md

File metadata and controls

11 lines (7 loc) · 571 Bytes

Lecture-CNN-PyTorch

-March 12th 2020

Learn the fundamentals of modern computer vision with convolutional neural networks (CNNs). We'll look at how CNNs work and what they could be used for. Then we'll analyse common architectures used in industry and research. Finally we'll put it all together in a short computer vision demo.

Resources

CNN MNIST visualization online tool: https://www.cs.ryerson.ca/~aharley/vis/conv/flat.html

Note: exmaple based on the PyTorch tutorial on classification https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html