Table Of Contents

Chapter 1: Introduction

• 1.0: Why Artifical Intelligence
• 1.1: Setup
• 1.2: Models, Goals, and Learning

Chapter 2: Regression and Curve-Fitting

• 2.1: Linear Regression with SGD
• 2.2: A Brief Intro To PyTorch
• 2.3: Linear Regression, Redux
• 2.4: Differentiable Circuits
• 2.5: (Optional) Backpropagation
• 2.6: Regularization