Who is this class for: - Learners that took the first two courses of the specialization. The third course is recommended. - Anyone that already has a solid understanding of densely connected neural networks, and wants to learn convolutional neural networks or work with image data.


Created by:  deeplearning.ai

Basic Info
Course 4 of 5 in the Deep Learning Specialization
LevelIntermediate
Commitment4 weeks of study, 4-5 hours/week
Language
English
Hardware ReqNone currently, unless you'd like to download Jupyter Notebooks locally for offline work.
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 884 ratings

very good!

Excellent introduction to CNN and useful practicing programs.

It really makes CONV NET easy to learn.

Errors in grading procedure. In many lecture videos you hear that they are consist of many recordings that do not compose one whole thing.