CSC321
Spring 2012
Introduction to Neural Networks and Machine Learning
University of Toronto Mississauga
Look here at least once a week for
news about the course.
Announcements:
The final exam will focus on material that was not on the midterm, including
some material that was covered before the midterm. In particular, the exam
will concentrate on recurrent networks, mixtures of experts, clustering, Boltzmann
machines, restricted Boltzmann machines, stacking RBMs, autoencoders and deep
autoencoders, and support vector machines. There will be no Matlab on the
exam.
The final exam with be closed book.
However, you may bring one 8.5x11” sheet of handwritten notes (not
photocopied). You may write on both
sides of the sheet.
Assignment 4 should be handed in at my office (CCT 3079) by 1:30pm on Friday
March 30.
Assignment 4 is now
available.
Assignment 4 will be explained in tutorial on March 20.
The deadline for Assignment 3 has been extended by 1 day. It is now due on Weds March 14 at the start
of class, 3:10pm.
Assignment 3 is now available.
Assignment 2 should be handed in at my office (CCT 3079) by 1:30pm on Friday
March 2.
Assignment 2 is now available.
The midterm test will be held in tutorial on Tuesday Feb 14. It will
start promptly at 1:10pm and end at 2:00pm.
Here is an example midterm test from the
St George section of this course. Question A2 has a picture of the net
missing. Some of the questions are about material that is now in the second
half of the course. The questions on our midterm test will be similar, though
there will also be a more mathematical question. You are responsible for all
material covered in class, in tutorials and on the assignment.
The slides for Tutorial 3 describing Assignment 1 are available in the online
drop box.
Please send email to the TA (below) if you want to access the drop box.
Assignment 1 is now available.
Examples of Matlab code used in the first tutorial are available here.
General information on assignments is available here.
Assignment 1 will be posted on Jan 24 and will be due on Jan 31.
The midterm test will be on Feb 14 in tutorial.
Lectures: Wednesdays
3:00-4:00pm in IB 210
First lecture January 4; Last lecture March 28; No lectures on February 22
Click on the lectures page for a list of all the lectures (subject to
change).
Tutorials: Tuesdays 1:00-2:00pm in IB 210
First tutorial: January 10
Click here for details of the tutorials.
Instructor: Anthony Bonner
email: [my last name] [at] cs [dot]
toronto [dot] edu
Office: CCT 3079 (UTM), BA 4268 (St
George)
Phone: 905-828-3813 (UTM),
416-978-7441 (St George)
Office Hours: Wednesdays 2:00-3:00pm, Fridays 1:00-2:00pm.
Teaching Assistant: Yue Li
email: yueli [at] cs [dot] toronto [dot] edu
Prerequisites:
informally: calculus, linear algebra, statistics and computer programming
formally: CSC207H5/270H5, 290H5; MAT223H5/248Y5; STA257H5
Required Readings: There is no required textbook for the class.
There will be one or two required papers or chapters per week. (see Lectures and Readings). These required readings will
all be available on the web.
Marking Scheme:
Closed book Midterm test worth 20%
Closed book Final exam worth 40%
Four assignments worth 10% 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.
Course Information sheet: click
here.
Plagiarism and Cheating:
Students should become familiar with and are expected to adhere to the Code of
Behaviour on Academic Matters. The following websites may also be helpful:
o
Code of Student
Conduct
o
Academic honesty
o
Advice
on avoiding plagiarism
o
Advice on academic
offences
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