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AI Paper Review
AI Paper Review
Mathematical Foundations of Deep Neural Networks
Mathematical Foundations of Deep Neural Networks
- Ch 1. Optimization and Stochastic Gradient Descent
  Ch 1. Optimization and Stochastic Gradient Descent
- Ch 2. Shallow Neural Networks to Multilayer Perceptrons
  Ch 2. Shallow Neural Networks to Multilayer Perceptrons
- Ch 3. Convolutional Neural Networks
  Ch 3. Convolutional Neural Networks
- Ch 4. CNNs for Other Supervised Learning Tasks
  Ch 4. CNNs for Other Supervised Learning Tasks
  - 8. CNNs for Other Supervised Learning Tasks
  - Chapter 4 Code
- Ch 5. Unsupervised Learning
  Ch 5. Unsupervised Learning
- Ch A. Appendix - Basics of Monte Carlo
  Ch A. Appendix - Basics of Monte Carlo
  - 13. Basics of Monte Carlo
  - Chapter A Code
- Python Basics
  Python Basics
Reinforcement Learning
Reinforcement Learning
- Ch 1. Tabular Solution Methods
  Ch 1. Tabular Solution Methods
- Ch 2. Approximate Solution Methods
  Ch 2. Approximate Solution Methods
- Ch 3. Looking Deeper
  Ch 3. Looking Deeper

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