Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
39,726 ratings
5,258 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

RS
Dec 11, 2019

Great Course Overall\n\nOne 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.

RK
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.

Filter by:

5076 - 5100 of 5,228 Reviews for Convolutional Neural Networks

By Alec G

Mar 2, 2019

The grader was frustrating on the programming assignments, especially week 4

By Samuel C

Nov 26, 2017

Class itself is great, but the buggy grader software should be fixed timely

By Nele V S

Jan 4, 2021

a pity that part of the keras code in the practical exercises is outdated

By Shivanand P

Mar 2, 2019

Grading process/grader need to be improved for Week 3 and 4 assiignments

By James W

Feb 13, 2019

Some of the coding assignments had major issues that need to be fixed.

By 김윤수

May 14, 2018

need to teach us more about tensorflow to do last week's assignments

By Alex K

Jun 7, 2019

Good content but the Coursera homework platform is severely broken.

By Iván I

Oct 26, 2019

The videos are not properly edited. Exercises are not very useful.

By Kshitij S

Oct 15, 2019

A bit difficult than prior courses. Still, enjoyed learning. :)

By Himanshu A

Aug 23, 2018

The convolution operator seemed a bit abrupt in the first week.

By Adriano C

Mar 27, 2020

There are many things to improve in the programming assignment

By Dong Z

Apr 16, 2020

Not very clear, still need to learn a lot to understand CNN.

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 Fengjun W

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.