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

4.9
stars
41,313 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.

AR

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

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4801 - 4825 of 5,457 Reviews for Convolutional Neural Networks

By Raphael P

Dec 3, 2017

Missing some questions in between videos. Some assessment are not as well written than previous lessons...

By Dag W

Nov 21, 2020

Great course with a fast-track into the world of CNN's. A little bit raw around the edges, but effective.

By André E

Jul 24, 2020

It would be more interesting if the programming exercises utilized the more recent version of tensorflow.

By Rahul K

Jan 24, 2020

Things were really interesting..It would be great if there were some more topics and details of the model

By XINQI

May 18, 2019

Please do not use too strict rules to check the assignment, I.e. IOU Func, it's a waste of time to debug.

By Carlos L

Feb 24, 2018

The course is great but the support of the mentors is zero and there are several typos in the notebooks.

By Vamsi V

Feb 10, 2019

difficulty in learning program it there any optional videos to learn those programming like keras etc..

By Cesar B

Jul 8, 2018

A couple of missunderstading in the assigments but you can learn a lot about convnets and that is huge!

By Ievgenii K

Dec 3, 2017

Cover some of topics and give good overview, but skip other interesting moments (like GAN and CapsNet).

By Yash G

Nov 29, 2018

A good course, could be great if we keep the course updated with current state of the art developments

By 金哥哥

Feb 1, 2018

I don't know the triplet loss part in the final PA. why it's should be axis = None

other PAs are great!

By Bhuvan G

Aug 17, 2020

The graded assignments are a bit buggy and need to be corrected. The quality of the content is great.

By Raj K

Aug 8, 2020

Course covers most of the basics for CNNs.

But it would be better if they would have also covered GANs

By Paul B

Nov 29, 2017

Great content, HW assignments were poorly done because of the automated grader being fickle or wrong.

By Claudio v P

Jan 5, 2020

I would give it 5 starts, but there are too many errors in subtitles and audio. Overall very useful!

By Debadyuti B

Sep 11, 2019

Material was excellent as usual. However, there were a few glitches in the final week's assignments.

By Adalberto C Q

Feb 24, 2018

Pretty good course. It would be perfect if it would go much more into the details with YOLO and NST.

By Tobias H

Jan 3, 2018

Despite some bugs in the assignments (especially second assignment of week 4!) a very useful course!

By Mustafa A S

Apr 28, 2022

Good content, good instructor. But the grader is terribly buggy and makes you waste a lot of time.

By Pratik S P

Sep 23, 2020

there should be explanation of tensorflow library which will help us to understand more efficiently

By David K

Mar 23, 2019

Great, but some aspect such as Neural Style Transfer are not quite as applicable in the real world.

By Frederic D

Jul 21, 2018

This course was cool too but I feel I got a bit less out of the exercises that the first 2 courses.

By Marcus M

Feb 20, 2018

Lots of editing bugs in the videos. Sometimes the videos would seem to jump backwards 5-20 seconds.

By BEVANS O O

Dec 2, 2022

The instructor has the peculiar ability of making the most difficult concepts easy to understand.

By Alperen S A

Sep 3, 2020

it's quite hard and contains unnecessary computation and coding... but generally lessons are great