| layout | title | published |
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page |
Table Of Contents |
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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