| parent folder | - | - |
| - | Week 5 - Lecture 1 - Neural Networks - Part 1 - Overview.pdf | 3092155 | 2026-04-07 16:48:02 |
| - | Week 5 - Lecture 1 - Neural Networks - Part 2 - Perceptron.pdf | 809152 | 2026-04-07 16:48:03 |
| - | Week 5 - Lecture 1 - Neural Networks - Part 3 - Multilayer Perceptron.pdf | 558192 | 2026-04-07 16:48:05 |
| - | Week 5 - Lecture 1 - Neural Networks - Part 4 - Feed Forward and Error Backpropagation.pdf | 1063677 | 2026-04-07 16:48:06 |
| - | Week 5 - Lecture 1 - Neural Networks - Part 5 - Regularization.pdf | 826906 | 2026-04-07 16:48:08 |
| - | Week 5 - Lecture 1 - Neural Networks - Part 6 - Extra - What Comes Next.pdf | 46500942 | 2026-04-07 16:48:20 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 1 - Motivation.pdf | 294666 | 2026-04-07 16:48:22 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 2 - Markov Decision Process.pdf | 598234 | 2026-04-07 16:48:24 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 3 - Value Iteration.pdf | 637982 | 2026-04-07 16:48:26 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 4 - Policy Iteration.pdf | 492025 | 2026-04-07 16:48:27 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 5 - Direct Utility Estimation.pdf | 438722 | 2026-04-07 16:48:29 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 6 - Adaptive Dynamic Programming.pdf | 392132 | 2026-04-07 16:48:30 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 7 - Temporal Difference.pdf | 385588 | 2026-04-07 16:48:31 |
| - | Week 5 - Lecture 2 - Reinforcement Learning - Part 8 - Passive and Active Learning.pdf | 439639 | 2026-04-07 16:48:33 |