COMP664-Deep-Learning

Repository for Notes Following the Lectures along with Homeworks for SP '23 offering of COMP664: Deep Learning taught by Dr. Colin Raffel

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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
HW		HW
Supplementals		Supplementals
.gitignore		.gitignore
Chapter 02 - Preliminaries (Tensors and Tensor Ops).ipynb		Chapter 02 - Preliminaries (Tensors and Tensor Ops).ipynb
Chapter 03 - Linear Neural Networks for Regression.ipynb		Chapter 03 - Linear Neural Networks for Regression.ipynb
Chapter 04 - Linear Neural Networks for Classification.ipynb		Chapter 04 - Linear Neural Networks for Classification.ipynb
Chapter 05 - Multilayer Perceptrons.ipynb		Chapter 05 - Multilayer Perceptrons.ipynb
Chapter 06 - Builders' Guide.ipynb		Chapter 06 - Builders' Guide.ipynb
Chapter 07 - Convolutional Neural Networks.ipynb		Chapter 07 - Convolutional Neural Networks.ipynb
Chapter 08 - Modern Convolutional Neural Networks.ipynb		Chapter 08 - Modern Convolutional Neural Networks.ipynb
Chapter 09 - Recurrent Neural Networks.ipynb		Chapter 09 - Recurrent Neural Networks.ipynb
Chapter 10 - Modern Recurrent Neural Networks.ipynb		Chapter 10 - Modern Recurrent Neural Networks.ipynb
Chapter 11 - Attention Mechanisms and Transformers.ipynb		Chapter 11 - Attention Mechanisms and Transformers.ipynb
Chapter 12 - Optimization Algorithms.ipynb		Chapter 12 - Optimization Algorithms.ipynb
README.md		README.md