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start [2017/10/20 14:29]
anderson
start [2017/12/19 16:31]
anderson [December]
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 | Week 8:\\ Oct 9 - Oct 13  | Reinforcement Learning for Two-Player Games.\\ Introduction to Neural Networks  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/15 Reinforcement Learning for Two-Player Games.ipynb|15 Reinforcement Learning for Two-Player Games]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/16 Introduction to Neural Networks.ipynb|16 Introduction to Neural Networks]]  | Sections 18.6 and 18.7  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A4 Negamax with Alpha-Beta Pruning and Iterative Deepening.ipynb|A4 Negamax with Alpha-Beta Pruning and Iterative Deepening]] due Wednesday, October 11th, at 10:00 PM.  | | Week 8:\\ Oct 9 - Oct 13  | Reinforcement Learning for Two-Player Games.\\ Introduction to Neural Networks  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/15 Reinforcement Learning for Two-Player Games.ipynb|15 Reinforcement Learning for Two-Player Games]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/16 Introduction to Neural Networks.ipynb|16 Introduction to Neural Networks]]  | Sections 18.6 and 18.7  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A4 Negamax with Alpha-Beta Pruning and Iterative Deepening.ipynb|A4 Negamax with Alpha-Beta Pruning and Iterative Deepening]] due Wednesday, October 11th, at 10:00 PM.  |
 | Week 9:\\ Oct 16 - Oct 20  | More Neural Networks  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/17 More Introduction to Neural Networks.ipynb|17 More Introduction to Neural Networks]]  | | Week 9:\\ Oct 16 - Oct 20  | More Neural Networks  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/17 More Introduction to Neural Networks.ipynb|17 More Introduction to Neural Networks]]  |
-| Week 10:\\ Oct 23 - Oct 27  |  |  |  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A5 Reinforcement Learning Solution to Towers of Hanoi.ipynb|A5 Reinforcement Learning Solution to Towers of Hanoi]] due Wednesday, October 25th, at 10:00 PM.  |+| Week 10:\\ Oct 23 - Oct 27  | Introduction to Classification. Bayes Rule. Generative versus Discriminative. Linear Logistic Regression.  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/18 Introduction to Classification.ipynb|18 Introduction to Classification]]   |  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A5 Reinforcement Learning Solution to Towers of Hanoi.ipynb|A5 Reinforcement Learning Solution to Towers of Hanoi]] due Wednesday, October 25th, at 10:00 PM.  |
  
 ===== November ===== ===== November =====
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 |< 100% 10% 20% 30% 20% 20%  >| |< 100% 10% 20% 30% 20% 20%  >|
 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 11:\\ Oct 30 - Nov 3  |   |  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/Project Proposal.ipynb|Project Proposal]] due Wednesday, November 1st, at 10:00 PM. | +| Week 11:\\ Oct 30 - Nov 3  | Classification with Neural Networks  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/19 Classification with Linear Logistic Regression.ipynb|19 Classification with Linear Logistic Regression]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/20 Classification with Nonlinear Logistic Regression Using Neural Networks.ipynb|20 Classification with Nonlinear Logistic Regression Using Neural Networks]]  |[[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/Project Proposal.ipynb|Project Proposal]] due Wednesday, November 1st, at 10:00 PM. | 
-| Week 12:\\ Nov 6 - Nov 10  |  |  |  | +| Week 12:\\ Nov 6 - Nov 10  | Reinforcement Learning with Neural Networks.\\ Lecture and Chuck's office hours on Thursday are <color red>cancelled</color> He will be out of town.  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/21 Reinforcement Learning with a Neural Network as the Q Function.ipynb|21 Reinforcement Learning with a Neural Network as the Q Function]]  
-| Week 13:\\ Nov 13 - Nov 17  |  |  |  |+| Week 13:\\ Nov 13 - Nov 17  | Faster Reinforcement Learning. Autoencoder neural networks.  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/22 Autoencoder Neural Networks.ipynb|22 Autoencoder Neural Networks]]   | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A6 Neural Networks.ipynb|A6 Neural Networks]] due <color red>Friday, November 17th, at 10:00 PM.</color>  |
 |  Nov 20 - Nov 24  |  Fall Break  | |  Nov 20 - Nov 24  |  Fall Break  |
-| Week 14:\\ Nov 27 - Dec 1  | Constraint satisfaction. Min-conflicts  |  | Chapter 6.\\ [[http://dl.acm.org/citation.cfm?id=1928809|A new iterated local search algorithm for solving broadcast scheduling problems in packet radio networks]] +| Week 14:\\ Nov 27 - Dec 1  | Constraint satisfaction. Min-conflicts [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/23 Constraint Satisfaction Problems.ipynb|23 Constraint Satisfaction Problems]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/24 Min-Conflicts in Python with Examples.ipynb|24 Min-Conflicts in Python with Examples]]  | Chapter 6.\\ [[http://dl.acm.org/citation.cfm?id=1928809|A new iterated local search algorithm for solving broadcast scheduling problems in packet radio networks]] 
  
 ===== December ===== ===== December =====
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 |< 100% 10% 20% 30% 20% 20%  >| |< 100% 10% 20% 30% 20% 20%  >|
 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 15:\\ Dec 4 - Dec 8  | Propositional and First-Order LogicIntroduction to Prolog.  |  Chapters 7, 8, 9  |  +| Week 15:\\ Dec 4 - Dec 8  | Recurrent neural networks and use in natural language\\ <color red>Dec 7, Thursday, PLEASE ATTENDCourse Surveys will be filled out.</color>  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/25 Natural Language.ipynb|25 Natural Language]] |   |  
-| Finals Week:\\ Dec 11 - Dec 15  |    |  |+| Finals Week:\\ Dec 11 - Dec 15  |   | Final Project notebook is due Tuesday, Dec 12th, 10:00 pm. [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/Example of Project Report.ipynb|Here is a simple example.]]\\ Here is a [[|list of links to almost everyone's final reports]]  |
  
  
  
start.txt · Last modified: 2024/01/08 18:40 (external edit)