Chevron Left
Back to Convolutional Neural Networks

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

4.9
stars
42,533 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

FH

Jan 11, 2019

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

NK

Jul 10, 2024

Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!

Filter by:

1826 - 1850 of 5,639 Reviews for Convolutional Neural Networks

By Pathairush S

•

Apr 13, 2019

So impressive in both fundamental knowledge and the applications in computer vision.

By Katherine T

•

Jan 19, 2019

Great course content. Please resolve some of the technical issues with the projects.

By Md M H

•

Oct 6, 2018

Great Course. Made complex techniques easy to understand. Hats-off to Dr. Andrew Ng.

By Varun V P

•

Jul 18, 2018

Great intro to cnn. Good programming exercises with industry standard architectures.

By Meher V K

•

Feb 22, 2018

Andrew has this style of teaching complex things in a simple manner.. Just loved it.

By Luc B

•

Feb 10, 2018

Very interesting and focused on actual Problems. I liked the face-recognition Topic.

By Dongtai H

•

Dec 16, 2017

Please fix the grader for the last assignment for face verification and recognition.

By Jelena L

•

Dec 1, 2017

The course is very well prepared, with clear explanations and very useful exercises.

By Tisha

•

Aug 23, 2022

Gives a very good coverage of various aspects of CNN architecture and applications.

By Alper I

•

Aug 18, 2022

Nice course. Easier, if you have an image processing background, but not necessary.

By Pranay R

•

Sep 16, 2020

Best course I have ever seen . Thanks Andrew and team for such precious resources .

By William L C W

•

Aug 16, 2020

The learning process and homework are sometimes challenging but always interesting.

By Arshad S

•

Aug 14, 2020

Great course. All the complex concepts explained in a simple understandable manner.

By Md S H C

•

Jul 19, 2020

This is the coolest, and also the hardest among the courses in this specialization.

By Nimisha V

•

May 20, 2020

The course is very well structured. Many concepts are taught. It is a very helpful.

By Sagar P

•

Apr 11, 2020

best course with complete details of working, maths and practical hand-on knowledge

By Harvey B C

•

Apr 8, 2020

Really great course that gives you an excellent understanding of how ConvNets work.

By Mohammed Y M

•

Feb 9, 2020

Excellent, as always.. I'm a fan of Andrew.. is there a cult i can join for it ? xD

By Claude C

•

Nov 23, 2019

Great course! I've learned a lot. Thanks to Dr Ng and all the deep learning.ai team

By Gaurav R

•

Jun 21, 2019

A very good and detailed introduction to state of the art deep learning techniques.

By Kyung M L

•

Nov 20, 2018

I had a very pleasure time to know state of art image processing technique. Great!!

By Kazuki Y

•

Jul 16, 2018

Great overview on how convolutional NN achieves what it does with fewer parameters.

By Mohammad R

•

Jun 25, 2018

This course was very very useful and provides very keen insights into CNNs. Thanks.

By Ahmed K

•

May 22, 2018

very powerful course with very broad coverage of latest techniques and applications

By Rishabh A

•

Dec 2, 2017

What an awesome course, I have no words to express the debt of Andrew and Coursera.