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

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

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.

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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4826 - 4850 of 5,286 Reviews for Convolutional Neural Networks

By Yi Z

Dec 24, 2017

The programming instructions are with something wrong

By Zaki A

Jul 2, 2018

It is a great course for a deep learning enthusiast.

By Luis C

Dec 8, 2017

Material is good, but too many problems with grader.

By Mikhail G

Nov 8, 2017

good amount of practice, some rough edges in content

By Sachin S

Nov 27, 2019

Iou function had issues in week 3 .Course was good!

By Xinghua J

Sep 27, 2019

If more practice using convNN, it would be perfect.

By zhengxinran

Mar 5, 2018

还是一贯的好!但是习题没有详细解析了!然后带有 Hint 的链接,即使翻墙也看不到,这个非常影响学习!

By Enes Ş

Oct 11, 2020

Programming assignments could be more challenging.


May 16, 2021

Some assignments have bugs and needs to be fixed.

By Hemanth M

Jul 20, 2019

Tensorflow and Keras parts need better references

By Jean E K

Jun 7, 2018

grader s output should be completed with feedback

By James H F J

Nov 2, 2020

Interesting course! Enjoy teacher's enthusiasm.

By Abu M R

May 21, 2020

A bit faster in terms of programming assignments

By Soner

Feb 6, 2020

Programming assignments are basic than expected

By Jonathan R

Apr 19, 2018


one star missing due to grader problem

By Ziggy W

Dec 24, 2017

5 stars, except for the bug in grader on part 4.

By Qinzhe Z

Dec 4, 2017

Few bugs. Except these bugs, others are all good

By Eduardo E d C

Oct 7, 2020

Andrew is awesome! He explains in a perfect way

By yebenbenben

Sep 2, 2020

I would expect the homework to be more hands on

By animikh c

Jun 14, 2020

Good theoretical knowledge gained by it. Thanks

By Deepa K

Jan 27, 2019

Neural Style Transfer I thought was bit rushed

By Martin T

Feb 4, 2018

The bug in the tripleloss was very frustranting

By Cuyler D

Dec 22, 2017

Bugs in the course (it's new so understandable)

By João L

Sep 24, 2020

I had like a lot specialy the face recognition

By Khosro ( P

May 24, 2019

Good course but sometimes confusing homeworks!