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| ====== CMPU 395 Schedule ====== | ====== CMPU 395 Schedule ====== | ||
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| - | Note that this is a **//preliminary//** plan for the course. | ||
| | M Aug 31 | Lecture 1 | {{courses:c395-200903:01-intro-2x2.pdf|Introduction, Presentation of the course}} | | | M Aug 31 | Lecture 1 | {{courses:c395-200903:01-intro-2x2.pdf|Introduction, Presentation of the course}} | | ||
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| | W Oct 28 | Lecture 15 | {{courses:c395-200903:15-som-2x2.pdf|Topology preserving maps}} | | | W Oct 28 | Lecture 15 | {{courses:c395-200903:15-som-2x2.pdf|Topology preserving maps}} | | ||
| | M Nov 2 | Lecture 16 | {{courses:c395-200903:16-pca-2x2.pdf|Principal component analysis}} | Chapter 10 | | | M Nov 2 | Lecture 16 | {{courses:c395-200903:16-pca-2x2.pdf|Principal component analysis}} | Chapter 10 | | ||
| - | | W Nov 4 | Lecture 17 | Attractor models of memory, Cell assemblies | | + | | W Nov 4 | Lecture 17 | {{courses:c395-200903:17-assemblies-2x2.pdf|Pattern association, Cell assemblies}} | |
| | F Nov 6 | **Assignment 4** | //SOM implementation// | | | F Nov 6 | **Assignment 4** | //SOM implementation// | | ||
| - | | M Nov 9 | Lecture 18 | Hopfield networks | Chapter 11 | | + | | M Nov 9 | Lecture 18 | {{courses:c395-200903:18-hopfield-2x2.pdf|Hopfield networks}} | Chapter 11 | |
| - | | W Nov 11 | Lecture 19 | Boltzmann machines | Chapter 14 | | + | | W Nov 11 | Lecture 19 | {{courses:c395-200903:19-boltzmann-2x2.pdf|Boltzmann machines}} | Chapter 14 | |
| - | | M Nov 16 | Lecture 20 | Central pattern generators | | + | | M Nov 16 | Lecture 20 | {{courses:c395-200903:20-time-2x2.pdf|Time sequences}} | |
| - | | W Nov 18 | Lecture 21 | Baysian classifiers, Mixture models | Chapter 8 | | + | | W Nov 18 | Lecture 21 | {{courses:c395-200903:21-hmm-2x2.pdf|Markov models}} | Chapter 15 | |
| | F Nov 20 | **Assignment 5** | //Experiments with Hopfield network// | | | F Nov 20 | **Assignment 5** | //Experiments with Hopfield network// | | ||
| | M Nov 23 | Lecture 22 | Reinforcement learning | Chapter 13 | | | M Nov 23 | Lecture 22 | Reinforcement learning | Chapter 13 | | ||