Syllabus
Schedule
Assignments
Intro
[Pre-flight] Intro to Modeling
[Pre-flight] Introduction to git
git
[Pre-flight] Using VS-Code
[8/29/2024] Introduction to High Performance Computing (HPC)
[9/3/2024] Linear Classifiers
[9/5/2024] Gradient Descent, stochastic GD, Logistic Regression and Other classifiers
[9/10/2024] Building Training Datasets
[9/12/2024] Model Evaluation, Hyperparameter Tuning: Examples and Discussion
[9/17/2024, 9/19/2024] Building Multi-Layer Neural Networks from scratch + discussion on assignment
[9/24/2024] Building Multi-Layer Neural Networks with PyTorch
[9/26/2024] PyTorch and Autograd
[10/1, 10/3, 10/8/2024] CNN with PyTorch
[10/15, 10/17/2024] Explainable AI using Grad-CAM for visual explanations
[10/22, 10/24/2024] Recurrent Neural Network
Additional resources
(material discussed in class will appear here)
