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Learner Reviews & Feedback for Convolutional Neural Networks by DeepLearning.AI

4.9
stars
42,355 ratings

About the Course

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. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AG

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.

RS

Dec 11, 2019

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

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1951 - 1975 of 5,619 Reviews for Convolutional Neural Networks

By Xuecong L

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May 8, 2019

Very informative, with good practice assignments! The interview part is great!

By Andrei K

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Jan 25, 2019

I improved my knowledge in CNN, so I learned new CNN architectures. Thank you!

By David B

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Jun 4, 2018

Great topic and easy to follow and then reproduce on your own. A great course!

By David H

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May 9, 2018

The most exciting of the four courses so far, now looking forward to course 5.

By maluge p

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Apr 10, 2018

Its a well organized course and the knowledge obtained from it is exceptional.

By steven c

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Apr 4, 2018

The details of RCNN, fast RCNN, faster RCNN might be one session of the course

By Hiroko O

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Mar 11, 2018

Thank you for the amazing lecture!

I really enjoyed the interesting assignment.

By JohnKyens

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Dec 23, 2017

The instructors are great!Very GOOD teaching to tell you complex DL technology

By Greta B

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Nov 17, 2017

I liked all the learning material and assignments as well. Very helpful course

By Siri K

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Oct 6, 2023

Best Course to ever exist on the internet on Convolutional Neural Networks!!!

By kaleem u

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Feb 11, 2023

Best content delivered in an easy and interactive way by Professor Andrew Ng.

By Linh P

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Oct 2, 2022

Excellent Course. The material covers a lot of grounds on understanding CNN.

By Rustam F

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Jan 30, 2022

Very practical, explanations are very intuitive and clear, exercises are cool

By Lihong Z

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Aug 12, 2020

Very detailed and clear explanation, and perfect designed hands-on practises.

By Christian G H

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May 25, 2020

Very good. Being able to understand and use state of the art models is great.

By Jaap d V

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Apr 2, 2020

This one was harder but a lot of fun, I liked doing the neural style transfer

By Ivan

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Jan 9, 2020

Amazing course, tons of useful insight, Big thanks to Andrew Ng and the team.

By Diego A B T

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Jan 8, 2020

Excellent, the best course of the specialization. Some videos must be edited.

By Nitish S

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Nov 26, 2019

Extremely useful introductory course for anyone interested in computer vision

By Qingyun W

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Jun 14, 2019

It will be nice if some of the programming exercise issues could be resolved.

By Karel N N

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Apr 5, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

By Mohit T

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Jul 19, 2018

Great course. Exercises are awesome and Andrew's teaching is one of the best.

By Edir G L

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May 14, 2018

This the best course in Coursera I've done. I learned a lot from this course.

By Patrick E

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Feb 17, 2018

Gives a very good understanding of ConvNets and the practical implementation.

By Zephyr L

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Dec 4, 2017

very easy going! Thanks for the team's dedicated efforts on the exam setting.