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

4.9
stars
42,300 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.

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

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1926 - 1950 of 5,610 Reviews for Convolutional Neural Networks

By Eche I

Nov 26, 2018

An eye opener into the internal workings and applications of CNN in real life..

By Satyam K

Sep 17, 2018

Helped me to understand CNN and how Object detection works. Properly explained.

By Shuangqi

Aug 2, 2018

It contains many example of the CNN models that can be used for Computer Vision

By Mohit J

Jun 10, 2018

Great Course! Learn so much, that was not available in any other online course.

By 徐超

Jun 6, 2018

I learn a lot about intuition and details in this course, really good lectures!

By lun c

May 9, 2018

Great course! Learned skills for building driverless car and face recognition!

By Julien L

Apr 17, 2018

Very good course with good application examples and state-of-the-art algorithm.

By Daniel V

Dec 30, 2017

The teacher is awesome and the projects really cool and help you improve a lot.

By Paulo F

Nov 26, 2017

Awesome explanations. It touches the major concepts to develop/understand CNNs.

By Iosif D R

Nov 8, 2017

Very instructive. Simply brilliant way to explain quite cumbersome mathematics.

By timmy

Aug 3, 2021

Concepts are clearly explained. Weekly assignments are practical and on point.

By Mina H

Oct 17, 2020

Such a great course. Thanks to all the people who are trying hard in Coursera.

By Abhishek S

Oct 16, 2020

Exceptionally well designed course, with an amazing teacher and great content!

By Yaolin G

Apr 9, 2020

Super useful and easy to understand, very fruitful and rewarding. Thanks a lot

By Andrey A

Apr 8, 2020

One of the greatest introduction courses about computer vision. Thank's a lot!

By Andrew C

Feb 24, 2020

As usual, Professor Andrew can always offer excellent instructions. Thank you!

By gayatri l

Jan 30, 2020

Best experience.Broder my views and thinking.Happy to go in deeper and deeper.

By Risheeka S

Nov 23, 2019

A very important course if you want to begin solving computer vision problems.

By Chien D

Sep 8, 2019

This is a very well explained course. I cam earn a lot of practical knowledge.

By Mashrur M

May 21, 2019

Really gives you a lot of things to think about and work on. Excellent course.

By Xuecong L

May 8, 2019

Very informative, with good practice assignments! The interview part is great!

By Andrei K

Jan 25, 2019

I improved my knowledge in CNN, so I learned new CNN architectures. Thank you!

By David B

Jun 4, 2018

Great topic and easy to follow and then reproduce on your own. A great course!

By David H

May 9, 2018

The most exciting of the four courses so far, now looking forward to course 5.

By maluge p

Apr 10, 2018

Its a well organized course and the knowledge obtained from it is exceptional.