Full Stack Deep Learning - Course 2022
Course in Progress
Those who registered for the paid cohort option, please see here for details.
We will release lecture videos on Mondays at 6pm Pacific and lab videos on Wednesdays at 6pm Pacific on YouTube.
|2022-08-08||Lecture 1: Course Vision and When to Use ML||Labs 1-3: CNNs, Transformers, PyTorch Lightning||-|
|2022-08-15||Lecture 2: Development Infrastructure & Tooling||Lab 4: Experiment Management||-|
|2022-08-22||Lecture 3: Troubleshooting & Testing||Lab 5: Troubleshooting||-|
|2022-08-29||Lecture 4: Data Management||Lab 6: Data Annotation||Start forming groups|
|2022-09-05||Lecture 5: Deployment||Lab 7: Web Deployment||Group proposals due|
|2022-09-12||Lecture 6: Continual Learning & Monitoring||Lab 8: Model Monitoring||Work on project|
|2022-09-19||Lecture 7: Foundation Models||Work on project|
|2022-09-26||Lecture 8: ML Project Management||Work on project|
|2022-10-03||Lecture 9: Ethics||Work on project|
|2022-10-10||Project Presentations||Project due|
We walk through the entire architecture of the application we will be building, from soup to nuts. Published July 25, 2022.
We review the purpose of the course and consider when it's a good (or bad!) idea to use ML. Published August 8, 2022.
We review deep learning architectures and work through basic model training with PyTorch + Lightning. Published August 10, 2022.