Who is this class for: This class is for: - Learners that took the first course of the specialization: "Neural Networks and Deep Learning" - Anyone that already understands fully-connected neural networks, and wants to learn the practical aspects of making them work well.


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 2 of 5 in the Deep Learning Specialization
LevelBeginner
Commitment3 weeks, 3-6 hours per 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
How It Works
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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Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

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 5,578 ratings

This is very well designed course to understand the hyper parameter tuning in a systematic manner other to convege the model faster. Thank you Andrew and Deeplearning team.

Awesome Course

Very good course about more critical concepts when building deep neural networks. Although the material seems like quite condensed and forced in a very short span of time (3 weeks) while the easier and more basic concepts in course 1 where explained at the right pace during 4 weeks.

These are core concepts and techniques for practical day-by-day deep learning engineering and programming and I would have wanted them to not to be taught in such a rush.

Even though, highly recommended course... I am already building real networks to solve real problems in some projects I am involved in and that is simply awesome after 2 courses of this specialization :)))

great class, make deep learning more practical