Created by:  University of Toronto

Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
Syllabus

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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

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Certificates

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Creators
University of Toronto
Established in 1827, the University of Toronto has one of the strongest research and teaching faculties in North America, presenting top students at all levels with an intellectual environment unmatched in depth and breadth on any other Canadian campus.
Ratings and Reviews
Rated 4.5 out of 5 of 1,033 ratings

There is a lot of material to cover however, I think the professor and his crew do a good job on touching the most important points. The discussion group is also extremely helpful. I would suggest adding either more materials or recommended links for those willing to dig further into the mathematics details of some topics (RBMs for instance), as the material shown in the slides is way too sparse sometimes. The practical assignments were well planned and extremely useful and helpful to master some of the concepts, thanks for that. I am in the process of cleaning up the code in a way that I believe would be easier for students to understand them. I will contribute them back to the course in case there is any interest. Thanks!

very good

The excellent lecture on NN. It covers a wide variety of issues on NN throughout. However, it is sometimes difficult to understand. More explanation on basic concepts and the maths behind would help.

The course covers the cornerstones of neural nets architectures, learning, optimization and regularization techniques. Helps to get a grip on the terminology of the field, and to develop an intuition of how things work.