Who is this class for: Prerequisites: Expected: - Programming: Basic Python programming skills, with the capability to work effectively with data structures. Recommended: - Mathematics: Matrix vector operations and notation. - Machine Learning: Understanding how to frame a machine learning problem, including how data is represented will be beneficial. If you have taken my Machine Learning Course here, you have much more than the needed level of knowledge.


Created by:  deeplearning.ai

  • Andrew Ng

    Taught by:  Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

Basic Info
Course 1 of 5 in the Deep Learning Specialization
LevelIntermediate
Commitment4 weeks of study, 3-6 hours a week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
Syllabus

FAQs
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Coursework
Coursework

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

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

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Creators
deeplearning.ai
deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders.
Pricing
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Ratings and Reviews
Rated 4.9 out of 5 of 7,564 ratings

The lessons are really easy to follow and understand, it's has been really great being a part of this course so far and I have learned a lot.

Very good! Nice introduction into deep learning.

I think Neural Networks have a lot of potential for research and industry. This course is a fantastic hands-on, build your own neural net from scratch course. This builds the basic math and other intuitive understanding required to be able to use packages like tensorFlow, keras, caffe, torch etc. Thanks to the entire team.

Abhijeet

MS in EE, Stanford

Thanks