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Convolutional Neural Networks, deeplearning.ai

4.8
19,427 ratings
2,447 reviews

About this Course

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

Top reviews

By AG

Jan 13, 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.

By FH

Jan 12, 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.

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2,410 Reviews

By Reza

Mar 23, 2019

This course is easy to follow, cleared some black boxes for me. Even if you are not planning to purchase, it allows you to learn the most out of it by providing answered project assignment.

By Jimut Bahan Pal

Mar 21, 2019

Wonderful1

By Khor Huai Qian

Mar 21, 2019

very fundamental and guided well.

By LUCA DELL'ORTO

Mar 21, 2019

Assignments are more challenging!

By 王海杰

Mar 21, 2019

there have a bug in program homework, it wasted me a lot of time

By Akash Gupta

Mar 20, 2019

The course was not in detail in terms of math and concepts. Like ML Course

By Vishnu Nath S

Mar 20, 2019

very good course and great content

By JY

Mar 20, 2019

Excellent teaching! Not access to the assigment yet but already feel so excited!

By Antoni Stavrev

Mar 18, 2019

The best out there!

By Amelie HUSSON

Mar 18, 2019

All you need to understand CNNs and start building your own network!