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

4.9
stars
42,029 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

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

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.

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5051 - 5075 of 5,570 Reviews for Convolutional Neural Networks

By Nemish K

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Dec 8, 2017

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

By Clément R

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Jul 13, 2019

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

By Keith L

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Jul 16, 2018

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

By Simon T

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Apr 23, 2021

The parts on face verification and recognition are really short.

By Mohammed F S

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Sep 12, 2020

Needs to be updated with current version of Tensorflow and keras

By Andrew N

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Aug 19, 2020

most of the tensorflow documentation link is not working anymore

By Kartikey S

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Jun 16, 2021

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

By J D S

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Jul 12, 2020

Face recognition week was too short to understand key concepts.

By Sandeep P

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Jun 14, 2020

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

By Antoine V

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Sep 5, 2018

Very interesting, but the exercises should be more challenging.

By E W

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Feb 11, 2018

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

By Prabhat A

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Dec 28, 2017

Very insightful and interesting

Minor editing bugs in the videos

By Taimoor D K

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Aug 29, 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 8, 2018

It is very algorithmic base missing some deeper understanding.

By Duberney L R

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Jul 25, 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 8, 2018

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

By Ankit K

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Dec 10, 2017

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

By Ben R

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Aug 3, 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 18, 2019

there are some mandatory lessons that i feel are unnecessary

By Paul A

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Nov 25, 2018

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

By Kabakov B

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Aug 27, 2020

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