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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

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.

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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851 - 875 of 5,610 Reviews for Convolutional Neural Networks

By James W

Nov 12, 2019

Most lucid explanation of of Convolution nets I've ever encountered. Would be nice if they reshot the errors in the videos, though I understand that may be challenging.

By meet s

Oct 21, 2019

It is an amazing course, But in first week there should be optional videos for understanding backpropogation in CNN. Otherwise a great course and learned a lot from it.

By Ishitwa V

Aug 10, 2019

Very insightful course. I enjoyed it a lot. I am looking forward that in future deeplearning.ai would include more mathematical depths in deep learning courses. Thanks.

By Huan H

Dec 19, 2018

非常好的学习体验!视频和练习作业都很实用,对于入门CNN很有帮助。

Very good learning experience! Both the lecture videos and online practices are useful. It's very helpful for getting started with CNN.

By kevin E

Oct 24, 2018

I am reserving 5 star ranking for Prof Andrew NG courses only until he does a course titled " Learning How to teach" and it is passed by those wanting a 5 star ranking.

By César J N R

May 9, 2018

Really nice well explained course. It gives really state of the art content and encourage you to learn more from papers. It is a well balanced with nice content course.

By Sarah W

Apr 1, 2018

This course was awesome! I have a solid understanding of CNNs now, and I thought the neural style transfer and face recognition topics were super cool. Thank you Ng! :)

By David F

Nov 26, 2017

Probably the best course in the series so far. Really cool assignments, and well-structured course. Was able to do practical implementations beyond the course material.

By SHANKAR K

Jul 31, 2023

Awesome lectures!! Extremely good and tricky assignment, almost close to dealing with real-life problems!!

Very grateful to "Andrew Ng" sir and the whole Coursera team.

By Ginger d R

May 4, 2023

WOW! Best course in the specialization, especially weeks 3&4. Neural Style Transfer is so much fun! I'm going to buy a new GPU just so I can play around with it more:)

By floch_erwan

Sep 14, 2020

As always, Andrew NG courses are excellent: the explanations are clear, the assignments help better understand the lectures and the instructor encourages you to pursue

By Mohammad M E

Sep 7, 2020

I learned very much from this course! Computer vision was a very interesting topic that I am so happy to have learned to implement using convolutional neural networks!

By Salman A

Apr 10, 2020

It is very nicely designed course that gives a good understanding of state of the art Image classification and recognition algorithms using Convolution Neural Networks

By Chen S

Apr 5, 2020

great course, great architecture are presented in a simple and nice way, very good exercises and article references loved it! and I feel like it added a greater value

By Abishek S

Nov 12, 2019

An excellent course, with well thought out assignments. Once I started it, I couldn't help but keep going and exploring. I am bit sad that the course is actually over.

By Zebin C

May 18, 2019

This course gives me a more intuitive understanding of the principles of CNN. I have mastered and implemented many classic CNN structures through the four-week course.

By Yuhao

Oct 25, 2018

Very good practical content! I suggest all programming courses teach in the same manner!

Combining jupyter notebook and lecture and quiz! Self-paced yet with deadlines!

By George B

Jun 23, 2021

Great course! Veru detailed explanations. Assignments could be improved by adding a bit more guidence on how to use the same code outside of the Coursera environment.

By Muhammad S A

Aug 29, 2020

It is the best course on CNN one can get if you are a beginner. The course is very well structured and gives good intuitions on very complex ideas. Highly recommended

By Obaid S

Oct 17, 2019

Hands-on assignments, this is something I missed in earlier courses, this course gives you an opportunity to see how models are implemented in real-world. Great Job !

By Buddhiprabha E

Dec 9, 2018

Another great course by Andrew! The course is very interesting and Andrew takes every effort to make things clear to the students. Thank you for the wonderful course!

By Suresh K

May 4, 2018

Hi Andrew,

This is the The best on Ineternet for CNN. There is no replacement of your hand written style of explanation. Please keep this style of teaching.

thx

-Suresh

By Michael S

Jan 3, 2018

I have had a lot of fun playing with the NST software. I thought the object detector was the most fun I've had with a neural network but then the NST was even better.

By ABHILASH K

Oct 13, 2020

The description of CNN's and deep NN's was excellent, this course helps to understand NN's and their functions and how they help to improve the accuracy of results.

By SHAHAPURKAR S M

May 13, 2020

Excellent teaching and illustration of concepts. The quizzes and assignments are meticulously designed such that in spite of being challenging, they are fun to do !!