Advanced Modeling Gradient Descent
About
Understand and implement gradient descent, and recognize common pitfalls such as poor convergence and address them.
Learning Objectives
You will be able to:
- Understand the intuition behind gradient descent and how it solves optimization problems.
- Implement gradient descent.
- Understand common pitfalls associated with gradient descent.
- Identify solutions for common pitfalls.
Content
| Topic | Skills |
|---|---|
| Slides | - An overview of gradient descent - Optimizing loss functions with gradient descent - How to choose ๐ถ |
| Gradient Descent | - Gradient Descent Code-Along |
Prerequisites
- Have a cursory understanding of the concept of derivatives
- Construct linear and logistic regression models.
- Describe and identify loss functions.
References
๐ Reference Materials
Important note
Please ignore the _layouts folder and the config.yml file in the root of this repo. They are needed to make sure the repo renders well; please donโt change them or delete them and your repo will work fine :)