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

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Coursework
Coursework

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

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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 10,711 ratings

The course has helped me understand the nuances in Deep Learning and has provided a basic understanding of the topic.

The course was easy to understand and the assignments were structured in a way that would enable beginners to grasp the concepts easily.

Suggestion: I feel we can have a practice project (ungraded) that would bring together all the elements discussed in the course. This would be a self motivated project that could be showcased as a part of the coursework.

very good teacher, very good lecture

Great entry point into Deep Learning, though as a mid career professional I get a bit overwhelm by the mathematics.

Very useful.