Lectures: Tuesdays and
Thursdays 1.00-2.00pm (RS-211)
First lecture January 8; Last
lecture April 10; No lectures on February 19 and 21
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
Andriy Mnih, Graham Taylor: email csc321h[at sign]cs.toronto.edu
TA Office Hours:
Andriy Mnih (for everything except the assignments) Thursdays 2.00-3.00 (in LP 275)
Graham Taylor (for anything to do with assignments) Fridays 2.00-3.00
(but not on feb 8) (in LP 265c)
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%
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/