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

4.9
stars
40,127 ratings
5,314 reviews

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

RK
Sep 1, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

OA
Sep 3, 2020

Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.

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4776 - 4800 of 5,285 Reviews for Convolutional Neural Networks

By Jiby N

Oct 28, 2018

More challenging assignments needed for more learning opportunities

By Haoran S

Mar 2, 2018

very good course, though confused by the grading of the assignments

By Joel G

Feb 15, 2018

Great material, but some confusion on the last programming exercise

By Ben B

Feb 6, 2018

Assignment grader needs to be updated. Great course, learned a lot.

By Andrey S

Dec 4, 2017

Great course! I give 4 instead of 5 because of the last assignment.

By Dhanashree P

May 4, 2018

Ability to train own network would improve the learning experience

By Nemish K

Dec 8, 2017

The duration of the course was less, which made it very fast paced

By Clément R

Jul 13, 2019

The course is very good. However some bugs remain in the notebook

By Keith L

Jul 16, 2018

great course although the auto-graders could use some updating...

By Simon T

Apr 23, 2021

The parts on face verification and recognition are really short.

By Mohammed F S

Sep 12, 2020

Needs to be updated with current version of Tensorflow and keras

By Andrew N

Aug 19, 2020

most of the tensorflow documentation link is not working anymore

By Kartikey S

Jun 16, 2021

The course was great overall. The assignments were easy though.

By João M A d S

Jul 12, 2020

Face recognition week was too short to understand key concepts.

By Sandeep P

Jun 14, 2020

Tough on programming side, but good videos. Learning was a fun!

By Antoine V

Sep 5, 2018

Very interesting, but the exercises should be more challenging.

By E W

Feb 11, 2018

One star less because the last homework notebook is very buggy.

By Prabhat A

Dec 28, 2017

Very insightful and interesting

Minor editing bugs in the videos

By Taimoor D K

Aug 29, 2019

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

By Kenneth L

Jun 16, 2019

Some sentences get repeated twice maybe due to editing errors.

By Michal M

Feb 8, 2018

It is very algorithmic base missing some deeper understanding.

By Manish C

Feb 5, 2020

Like always best course in computer vision by Andrew NG

By Tjalf B

Jul 27, 2019

A great course with challenging tasks and great explanations.

By Jingxian L

May 8, 2018

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

By Ankit K

Dec 10, 2017

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