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

4.9
stars
42,318 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

RS

Dec 11, 2019

Great Course Overall

One thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

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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5101 - 5125 of 5,613 Reviews for Convolutional Neural Networks

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 Duberney L R

Jul 25, 2022

Deben mejorar las transcripciones y las presentaciones en pdf

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.

By Ben R

Aug 3, 2020

A few bugs in the assignment grading, otherwise nice course.

By 紫色人的心

May 13, 2019

The programming job doesn't feel well guided by the content.

By Fady E

Feb 18, 2019

there are some mandatory lessons that i feel are unnecessary

By Paul A

Nov 25, 2018

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

By Kabakov B

Aug 27, 2020

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

By Aniruddh B

May 5, 2020

Great course. Assignments too easy -- too much handholding.

By Timothy w N

Aug 17, 2019

Adequately confident with convolutional neural networks now

By Harshit P

Aug 11, 2019

Kernels are extremely buggy please fix the recurring issues

By Joseph L

Dec 21, 2017

good courses, but it has some errors in the last assignment

By Peeranat F

Nov 18, 2017

I didn't rate 5 because of a lot of issues about the grader

By Sig I

Apr 20, 2022

Good introduction with some depth and hands-on experience.

By Gaurav S

Feb 10, 2019

Difficult to find help for the face recognition assignment

By Wu T

Dec 11, 2017

grader is not working sometimes, have to logout and login

By Bogdan P

Dec 31, 2017

The coding assignments and the grader should be bug free

By Elizaveta N

Oct 22, 2020

The is a problem with the grader in the last assignment

By Jaadari F

May 4, 2020

some principles were a bit foggy and hard to understand

By 蔡中祥

Mar 26, 2019

第四周的课程在线训练时间有点长,经常断kernel,看不到效果,最后只能提交作业运行验证对错,别的都挺不错的。

By Brinzoiu B

Feb 1, 2018

Provides great introduction to conv nets. Great Course.