Introduction
  • Introduction to Machine Learning
  • System Setup and Jupyter notebook for "PyTorch Basics"
  • PyTorch Basics: Tensors and Gradients
Linear Regression with PyTorch
  • Jupyter notebook for Linear Regression
  • Linear Regression and Gradient Descent
  • Linear Regression using PyTorch built-ins
Logistic Regression and Image Classification
  • Jupyter notebook for Logistic Regression
  • Exploring the Dataset
  • Data Loaders & Model
  • Evaluation Metric & Loss Function
  • Training the Model
  • Testing with individual images
  • Logistic Regression Summary