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🌲 / tcs intcs Year 2 Module 6 - Intelligent Interaction Design AI & CS Lectures Week 5

c File Name Size files T Date
-Week 5 - Lecture 1 - Neural Networks - Part 1 - Overview.pdf3092155pdf2026-04-07 16:48:02
-Week 5 - Lecture 1 - Neural Networks - Part 2 - Perceptron.pdf809152pdf2026-04-07 16:48:03
-Week 5 - Lecture 1 - Neural Networks - Part 3 - Multilayer Perceptron.pdf558192pdf2026-04-07 16:48:05
-Week 5 - Lecture 1 - Neural Networks - Part 4 - Feed Forward and Error Backpropagation.pdf1063677pdf2026-04-07 16:48:06
-Week 5 - Lecture 1 - Neural Networks - Part 5 - Regularization.pdf826906pdf2026-04-07 16:48:08
-Week 5 - Lecture 1 - Neural Networks - Part 6 - Extra - What Comes Next.pdf46500942pdf2026-04-07 16:48:20
-Week 5 - Lecture 2 - Reinforcement Learning - Part 1 - Motivation.pdf294666pdf2026-04-07 16:48:22
-Week 5 - Lecture 2 - Reinforcement Learning - Part 2 - Markov Decision Process.pdf598234pdf2026-04-07 16:48:24
-Week 5 - Lecture 2 - Reinforcement Learning - Part 3 - Value Iteration.pdf637982pdf2026-04-07 16:48:26
-Week 5 - Lecture 2 - Reinforcement Learning - Part 4 - Policy Iteration.pdf492025pdf2026-04-07 16:48:27
-Week 5 - Lecture 2 - Reinforcement Learning - Part 5 - Direct Utility Estimation.pdf438722pdf2026-04-07 16:48:29
-Week 5 - Lecture 2 - Reinforcement Learning - Part 6 - Adaptive Dynamic Programming.pdf392132pdf2026-04-07 16:48:30
-Week 5 - Lecture 2 - Reinforcement Learning - Part 7 - Temporal Difference.pdf385588pdf2026-04-07 16:48:31
-Week 5 - Lecture 2 - Reinforcement Learning - Part 8 - Passive and Active Learning.pdf439639pdf2026-04-07 16:48:33

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