Neural Networks for Machine Learning
Offered By
Neural Networks for Machine Learning
Skills you will gain
Syllabus - What you will learn from this course
1
Introduction
2
The Perceptron learning procedure
3
The backpropagation learning proccedure
4
Learning feature vectors for words
28%
83%
Top Reviews
Although It was way too tough for me, but you have to agree that you learn a lot throughout the course.\n\nI'll definitely pursue some other courses related to Deep Learning here.\n\nThanks Coursera.
Some of the lectures are challenging (mathematically speaking) but it's worth doing. Mr Hinton is a good teacher and he is probably among the people in the world who know the most about neural nets.
Instructor
Geoffrey Hinton
ProfessorAbout University of Toronto
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
