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Convolutional Neural Networks, deeplearning.ai

4.9
21,122 ratings
2,598 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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2,566 Reviews

By Mashrur Mahmud

May 21, 2019

Really gives you a lot of things to think about and work on. Excellent course.

By WangMeiqin

May 21, 2019

Great! Continue to learn!

By dbw413

May 21, 2019

Some exercises may not clearly explain its aim and they might be better if we could engage more into the implementations.

Anyway, it is a course that worth to learn.

By 翁瑶

May 21, 2019

It's difficult,but I have learned more.Thanks.

By 杨庆

May 20, 2019

very good course assignment and learning curve.

By Einar Wigum Arbo

May 20, 2019

An error with the "Face recognition" notebook, otherwise a great and in-depth course

By Yao Feng

May 20, 2019

The course is pretty good with advanced techniques on computer vision. The only regret is one problem about the last coding homework. I failed to load the pre-trained model and can only finish the home work without checking the accuracy of designed examples.

By Ayon Banerjee

May 19, 2019

Concepts explained in great depth as compared to those found in most books.

By CHIRAG JAIN

May 19, 2019

Very nicely explaimed

By Zebin Chen

May 18, 2019

This course gives me a more intuitive understanding of the principles of CNN. I have mastered and implemented many classic CNN structures through the four-week course.