In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more.
Convolutional Neural Networks
Convolutional Neural Networks
This course is part of Deep Learning Specialization
Instructors: Andrew Ng
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Gain insight into a topic and learn the fundamentals.
4.9
(42,501 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 35 hours
Learn at your own pace
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Assessments
4 assignments
Taught in English
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This course is part of the Deep Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.
What's included
12 videos6 readings1 assignment2 programming assignments
Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.
What's included
14 videos3 readings1 assignment2 programming assignments
Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.
What's included
14 videos4 readings1 assignment2 programming assignments
Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!
What's included
11 videos6 readings1 assignment2 programming assignments
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4.9 (3,222 ratings)Offered by
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4.9
42,501 reviews
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Showing 3 of 42501
SH
4
Reviewed on Aug 5, 2019
Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.
FH
5
Reviewed on Jan 11, 2019
Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.
AG
5
Reviewed on Jan 12, 2019
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
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Frequently asked questions
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