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

4.9
stars
42,317 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.

AG

Jan 12, 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.

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651 - 675 of 5,613 Reviews for Convolutional Neural Networks

By Fotis T

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

By John J M

Sep 20, 2020

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

By Switt K

Oct 11, 2020

Andrew still teaches great!

The programming exercises sometimes have trouble with loading databases (sometimes takes like 10 minutes to complete loading), and the kernel sometimes crash for no reason.

By YANSKY

Sep 24, 2020

Very exciting courses. Everything explained carefully but easily to understand. Great courses. This course really help me a lot on my journey to learn deeper about deep learning. Thank you very much.

By Sergei L B

Jul 16, 2020

For me personally it's the best course in Deep Learning specialization. Well structured, interesting projects, good examples! The only thing that could be better is to use Tensorflow 2 instead of 1.0

By - A U S

Jun 4, 2020

This was by far the most challenging and difficult course in the specialization but also the most informative and useful from the perspective of the application side of Deep Learning! Thanks, Andrew!

By noe k

Jul 11, 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!

By DaesooLee

Feb 6, 2020

very easy to understand and helped my understanding in Deep Learning-based computer vision. Yet, this course will need to be updated with new developments in the future (to catch up with the trend).

By 向金芳

Jul 3, 2018

As far as I'm concerned, from this course, I learned many thing about convolution neural network. I also know the history about the development of CNN and some classical convolution neural network .

By Andrei L

Jun 2, 2018

The videos were very good. I came into the course knowing a bit from doing my own readings and the material covered in the course really helped me understand how convolutional neural networks work.

By Jangmin O

Nov 7, 2017

Andrew is one of the best lecturers in the world.

The organization of the lecture is simple but intuitive.

It covers most ingredients of convolutional neural networks for computer vision applications.

By Anastasia Y

Apr 3, 2021

Elated to have spent several weeks on such a wonderfully constructed course. Wonder if ther future versions will include SOTAs like mobile networks and efficientnets... Thank you very much, Dr. Ng!

By Durisetti S

Mar 3, 2020

This is a very good course to learn about Convolutional Neural Networks. It helps to keenly understand the concepts of CNN and their implementations. Thank you Coursera for offering me this course.

By Arun K M

May 6, 2019

A big thank you to Professor Andrew and his team for structuring this course and introducing the world of ConvNets to me. I found the video lectures easy to understand and the exercises intriguing.

By River Y

Nov 30, 2023

As before this is one of the great couses taught by Dr. Ng! It’s awesome that Dr. Ng provided many useful and classic CNN models as code assignments, which will be very helpful to the DL learners.

By Roy P

Dec 18, 2020

Giving 5 stars because the content is awesome as usual. Only point thing was that some of the content wasn't edited as it should have been (there were older takes included in parts of the videos).

By Ashwin A R

Feb 2, 2020

This course was an excellent hands-on with CNN's. It provides a brief understanding as well as the implementation of these networks. I really enjoyed this course and the applications were amazing.

By Xinqi F

Oct 3, 2019

Very Excellent Course. I have learned a lot of very new networks and their implementation. I also practice Tensorflow and Keras here. In addition, I found the discussion board is very very useful!

By Srinath V

May 24, 2019

Although this course isn't complete for practical purposes, it gives a comprehensive review of CNNs and all the other things required for starting with computer vision systems using deep learning.

By Andrei V

Jan 3, 2019

Very robust introduction to Convolutional Neural Networks. The lessons are, as always, very concise and the programming exercises help consolidate anything that might have not been easily grasped.

By Ori M

Jun 13, 2018

An excellent course The exercises were in a particular value. Just one issue: the automatic grader: please, please make it a bit more robust to minor numerical differences and make it more verbous

By John Y

Feb 24, 2018

This was the toughest of the four courses so far but for me was the most exciting! Andrew Ng gives you the codes in the assignments that you need to get started for state of the art applications.

By Попов Д В

Nov 3, 2020

Best course on CNN on coursera. You'll get Very deep knowledge and understanding of CNN after this course! (Not I am not paid for this, I am the real person who thinks this way about this course)

By Kashyap B

Jun 30, 2020

Great content. Excellent and productive exercises. A lot of fun in learning about ConvNets , object recognition, face recognition , and Neural Style Transfer. Thanks to Andrew for this great time