syde-599-f23-tutorial

Tutorial content for SYDE 599: Special Topics in Systems Design Engineering - Deep Learning offered in Fall 2023 at the University of Waterloo

Provide feedback

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
data		data
slides		slides
.gitignore		.gitignore
2.1 - Linear Regression Complete.ipynb		2.1 - Linear Regression Complete.ipynb
2.1 - Linear Regression Tutorial.ipynb		2.1 - Linear Regression Tutorial.ipynb
2.2 - Logistic Regression Complete.ipynb		2.2 - Logistic Regression Complete.ipynb
2.2 - Logistic Regression Tutorial.ipynb		2.2 - Logistic Regression Tutorial.ipynb
3.1 - Torch Operations Complete.ipynb		3.1 - Torch Operations Complete.ipynb
3.1 - Torch Operations Tutorial.ipynb		3.1 - Torch Operations Tutorial.ipynb
3.2 - Multilayer Perceptron Complete.ipynb		3.2 - Multilayer Perceptron Complete.ipynb
3.2 - Multilayer Perceptron Tutorial.ipynb		3.2 - Multilayer Perceptron Tutorial.ipynb
5.1 - Optimization Complete.ipynb		5.1 - Optimization Complete.ipynb
5.1 - Optimization Tutorial.ipynb		5.1 - Optimization Tutorial.ipynb
6.1 - Regularization Tutorial.ipynb		6.1 - Regularization Tutorial.ipynb
7.1 - Convolution Complete.ipynb		7.1 - Convolution Complete.ipynb
7.1 - Convolution Tutorial.ipynb		7.1 - Convolution Tutorial.ipynb
8.1 - Transformer Complete.ipynb		8.1 - Transformer Complete.ipynb
8.1 - Transformer Tutorial.ipynb		8.1 - Transformer Tutorial.ipynb
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt