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

4.9
stars
42,576 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

NK

Jul 11, 2024

Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!

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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5126 - 5150 of 5,646 Reviews for Convolutional Neural Networks

By Prabhat A

•

Dec 28, 2017

Very insightful and interesting

Minor editing bugs in the videos

By Taimoor D K

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Aug 30, 2019

Great course for those wanting to learns CNNs in a short time.

By Kenneth L

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Jun 16, 2019

Some sentences get repeated twice maybe due to editing errors.

By Michal M

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Feb 9, 2018

It is very algorithmic base missing some deeper understanding.

By Duberney L R

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Jul 26, 2022

Deben mejorar las transcripciones y las presentaciones en pdf

By manish c

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Feb 5, 2020

Like always best course in computer vision by Andrew NG

By Tjalf B

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Jul 27, 2019

A great course with challenging tasks and great explanations.

By Jingxian L

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May 9, 2018

It's hard to debug when we don't get score on my submissions.

By Ankit K

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Dec 11, 2017

The content is good but the assignments have a lot of errors.

By Ben R

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Aug 4, 2020

A few bugs in the assignment grading, otherwise nice course.

By 紫色人的心

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May 13, 2019

The programming job doesn't feel well guided by the content.

By Fady E

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Feb 19, 2019

there are some mandatory lessons that i feel are unnecessary

By Paul A

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Nov 26, 2018

a little bit hard to complete! But I liked it a lot, thanks!

By Boris K

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Aug 28, 2020

Theory is good -- Ng the best. But programming tasks on TF1

By Aniruddh B

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May 5, 2020

Great course. Assignments too easy -- too much handholding.

By Timothy w N

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Aug 18, 2019

Adequately confident with convolutional neural networks now

By Harshit P

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Aug 12, 2019

Kernels are extremely buggy please fix the recurring issues

By Joseph L

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Dec 22, 2017

good courses, but it has some errors in the last assignment

By Peeranat F

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Nov 19, 2017

I didn't rate 5 because of a lot of issues about the grader

By Sig I

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Apr 21, 2022

Good introduction with some depth and hands-on experience.

By Gaurav S

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Feb 11, 2019

Difficult to find help for the face recognition assignment

By Wu T

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Dec 11, 2017

grader is not working sometimes, have to logout and login

By Bogdan P

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Jan 1, 2018

The coding assignments and the grader should be bug free

By Elizaveta N

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Oct 23, 2020

The is a problem with the grader in the last assignment

By Jaadari F

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May 5, 2020

some principles were a bit foggy and hard to understand