Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
42,470 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

FT

Apr 7, 2021

Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

AG

Jan 13, 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.

Filter by:

5151 - 5175 of 5,631 Reviews for Convolutional Neural Networks

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 28, 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 12, 2020

Programming assignments could be more challenging.

By Yan Z

•

Apr 22, 2023

Maybe it is better to add more tutorial of Keras.

By CH

•

May 17, 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 Deleted A

•

Nov 3, 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 7, 2020

Programming assignments are basic than expected

By Jonathan R

•

Apr 19, 2018

Excellent!

one star missing due to grader problem

By Ziggy W

•

Dec 25, 2017

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

By QZ 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 3, 2020

I would expect the homework to be more hands on

By animikh c

•

Jun 15, 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 5, 2018

The bug in the tripleloss was very frustranting

By Cuyler D

•

Dec 23, 2017

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

By Павел С

•

Nov 20, 2022

Где-то слишком простые Programming Assignments

By João L

•

Sep 25, 2020

I had like a lot specialy the face recognition

By Khosro ( P

•

May 25, 2019

Good course but sometimes confusing homeworks!

By Zhijun C

•

Dec 22, 2017

The assignment has some problems with grading.