Course staff:
Deniz Yuret, Eng226, Office hours: TuTh 11:15-12:15.
Ozan Arkan Can, Eng229, Office hours: Mon 8:30-10:30
Erenay Dayanık, Eng229, Office hours: Tu 8:30-10:30
Email: All course related email should be sent to comp541group@ku.edu.tr
Lectures: TuTh 10:00 - 11:15 ENGZ15
Labs: Fr 11:30 - 12:45 SOSB16
Grading: Labs (10%), Midterm (20%), Final (30%), Project (40%)
Textbook: Goodfellow et al. (recommended), Sutton and Barto (recommended), Daume III (supplementary)
Lecture Schedule:
Part 1: Deep learning
Week 1: Introduction
Week 2: Linear models
Week 3: Multi-layer perceptrons
Week 4: Convolutional neural nets
Week 5: Recurrent neural nets
Week 6: ML methodology, midterm
Part 2: Reinforcement learning
Week 7: Markov decision processes
Week 8: Planning, Prediction
Week 9: Control, Value function approximation
Week 10: Policy gradient methods, learning and planning
Week 11: Exploration vs exploitation, classic games
Part 3: Student presentations
Week 12: presentations
Week 13: presentations
Final
Project Schedule:
Week 2: Pick paper
Week 3: Reading assignment 1
Week 4: Reading assignment 2
Week 5: Dataset statistics
Week 7: Baseline model and scores
Week 9: Progress report
Week 11: Final report and presentation due
Useful links:
AWS (Also see the attachment below, cs231n tutorial, Knet tutorial)
Google classroom (we may use this for assignments, class code: ydcjcqn)