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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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5426 - 5450 of 5,570 Reviews for Convolutional Neural Networks

By Alex M

Mar 4, 2020

The FaceNet assignment is bugged as hell! Please fix it ASAP

By Srijan G

Jan 4, 2020

The programming difficulty suddenly increased exponentially

By Michał Ł

May 12, 2018

Very nice course, but grader issues kill all the pleasure.

By Yiyun Z

Jan 16, 2018

The the Yolo assignment, the IOU part has grading problem!

By Jonathan B

Nov 25, 2019

Good content but assignment grading has lots of problems!

By Andrea L G

Feb 4, 2021

Nice introduction. TensorFlow part can be improved a lot

By Shuo C

Dec 19, 2020

Great course but lots of bugs in assignments and videos.

By aman g

Aug 19, 2020

Programing assignments were more life fill in the blanks

By Xin H

Nov 11, 2019

Some of the details are not very good just like yolo.

By André T D S

Oct 1, 2018

Bugs in the programming assignments kills the flow.

By STEFANO F P

Oct 1, 2019

Too easy excercises and with an old version of tf

By Hao Z

Dec 17, 2017

I hate the errors in the assignments and graders

By Gleb F

Jan 9, 2021

Too much emphasis on python programming skills.

By Guglielmo F

Dec 31, 2020

The Neural Style Net sheet has to be reviewed!!

By Tze-Yuan C

Apr 30, 2018

The coding assignment is a little bit too brief

By Antoine H

Dec 7, 2017

Several bugs in the last programming assignment

By Maciej G

Nov 28, 2017

too much material related to vision detection

By Han K K

Jan 6, 2018

Too much technical errors in the assignments

By lokesh w

Feb 3, 2021

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By Chengqian W

Jul 31, 2018

Some technical issues/errors in lectures.

By Patrick M

Feb 8, 2019

Too many mistakes in assignment material

By Karan D

Jan 7, 2018

there were bugs in the jupyter notebooks

By Mohammad A

Sep 19, 2020

programming assignments are not helpful

By eric v

Apr 19, 2018

some of the quizzes were a little buggy

By Walid M A

Nov 17, 2017

I did not like the assignments of w#4