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

FAQs
How It Works
Coursework
Coursework

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

Help from Your Peers
Help from Your Peers

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

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

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 1,230 ratings

A very good course covering a range of topics. But I think it is a bit difficult for someone just beginning with deep learning. Moreover, I feel there should be proper explanations for problems that we get wrong in quizzes.

Very well organized lectures!

A strong and intensiv course for students whose are going to dive deeper into the world of neural networks. They will find especially Convolution NN and Restricted Boltzman Machines (RBN). You have to be interested in studing the scientifc papers, which often present more the results than details of work. I needed much more time to made necessary background studies with some other sources to understand the details behind the matter. From my point of view not the best choice for beginners. Nevertheless a great course. I'm sure, that I haven't finished this course with my certificate. I'm coming back regularly.

Prof. Hinton is among the best in this field..