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
Commitment4 weeks of study, 3-6 hours a week
English, Subtitles: Chinese (Traditional)
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said

How It Works

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

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deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders.
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Ratings and Reviews
Rated 4.9 out of 5 of 11,096 ratings


Very good course! Andrew has the magic to convey complex ideas in a straightforward and easily understandable way. Also smooth learning the courser provided. Homework is great, although I would argue that it could be more challenge and thus more interesting.

Lectures by Andrew Ng are excellent = 5 stars

Programming assignements: room for improvement. At least once they use inconsistent nomenclature. And they leave no room for learning-by-doing, as it is mostly required to copy text/code from a few lines above into Phyton format.

I am still very exicted to move on to next course in the series.

Always pleasure to take a course of Andrew NG, He is a great instructor and taught very well now, I have to implement by learning in my on-going Deep Learning Project. Hopefully well complete all 5 courses of deeplearning.ai.