Who is this class for: Prerequisites: - Basic programming: You'll practice programming neural networks in Python. So long as you know the basics of programming (for/while loops, function calls, etc.), you should be able to pick up the needed Python. - Basic machine Learning knowledge: Any prior knowledge would help, though it's not hard for to pick it all up within this course. 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
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Coursework
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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.
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Ratings and Reviews
Rated 4.9 out of 5 of 809 ratings

Excellent introduction to feed-forward neural networks !

比machine learning更加详细,并且是python代码,用jupyter来练习,效果比matlab好多了,内容非常详尽,特别是反向传播算法这部分,本来之前似懂非懂,但这次课之后,总算是理清楚其中的关键了,感谢吴恩达老师

Really helpful and get to know deep learning and neutral neworks. And many concept become clear after watching the videos

Great course!