CSC321 Spring 2009
Introduction to Neural Networks and Machine Learning

Students should check these pages at least once a week for important information.

NEWS

Assignment 5 is now posted.


Lectures: Tuesdays and Thursdays 1.00-2.00pm in LM-158 (at 80 St George)
First lecture January 6; Last lecture April 9; No lectures on February 17 and 19

Tutorials: Thursdays 12.00-1.00pm (Same room as lectures)
Click on the tutorial page for details of the contents.

Instructor: Geoffrey Hinton; email csc321h[at sign]cs.toronto.edu
Group Office Hours: Tuesdays 2.15 - 3.00 discussion group (Pratt 290C)
Individual Office Hours: Tuesdays 3.00 - 3.30 individual meetings (Pratt 290G)

Teaching Assistants Ruslan Salakhutdinov, George Dahl: email csc321h[at sign]cs.toronto.edu
TA Office Hours:
Ruslan Salakhutdinov (for everything except the assignments) Thursdays 2.00-3.00 (in LP 265D)
George Dahl (for anything to do with assignments) Fridays 2.00-3.00 (in LP 275)

Please do NOT send the instructor or tutors email about the class directly to their personal accounts. They are not able to answer class email except to csc321h[at sign]cs.toronto.edu.

Prerequisites: If you want a waiver, you must contact me in the first week
CSC207H1/CSC270H1; MAT223H1/MAT240H1; STA247H1/STA255H1/STA257H1
CGPA 3.0/enrolment in a CSC subject POSt
Load: 25 hours of lectures; 13 hours of Tutorials.

Required Readings: There is no required textbook for the class.
There will be one or two required papers or chapters per week. (see Lectures, Readings, & Due Dates). Some of these required readings will be available on the web. I will hand out copies of required readings that are not on the web.

Marking Scheme
Closed book Midterm test worth 20%
Closed book Final exam worth 40% (Friday april 24 2.00-4.00pm in
East Hall, University College, 15 King's College Circle
Five assignments worth 8% each

Computing
The assignments will all be done in Matlab, but prior knowledge of Matlab is not required. Basic Matlab will be taught during the first few tutorials.

Auditing
If you are not registered in the class, it is possible for you to audit it (sit in on the lectures), but only if you get the instructor's permission and follow some rules. See the audit page for more info.


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CSC321 - Computation In Neural Networks: || www.cs.toronto.edu/~hinton/csc321/