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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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676 - 700 of 5,613 Reviews for Convolutional Neural Networks

By Petar T

Jun 28, 2020

Andrew Ng helped provide the fundamental background knowledge required to understand Convolutional Neural Networks intuitively and understandably making this course extremely great and enjoyable.

By Jiaye G

Apr 6, 2020

The course is very informative and Andrew did a particularly good job in dissecting and explaining the knowledge! I learned a lot from it (as well as the first three courses in this consequence!)

By Aswin S T

Jul 14, 2019

This is one of the best courses I took up in this series. Very extensive coverage on SOTA Computer Vision Algorithms and approaches. Looking forward to using this knowledge in Autonomous systems.

By Javier A

Nov 25, 2020

Awesome! Andrew´s introduction to complex subject is always crisp and clear. Feel that my understanding of convolutional neural networks really boosted and now I´m in the path to put it to work.

By Jamiil T A

May 15, 2020

Awesome, you will find almost everything you need to know about convolutional networks in this course. Don't hesitate register and have fun walking through the theory and coding assignments. :-)

By SYED M H R

Apr 21, 2020

Had Some issue in submitting the resnet50 assignment as the grader was not clearly telling where was the problem but overall course was great learned alot and also taught very well by Andrew Ng.

By Bhuvan P K

Jul 22, 2019

A very comprehensive course on convolutional neural networks and their applications in the computer vision domain. The last weeks content on Neural style transfer was also useful and interesting

By Fahad S

Sep 11, 2018

Highly recommended course for anyone interested in the computer vision domain. It covers both the breadth and depth of concepts which is very unique. The programming assignments were insightful.

By Daniel M

Dec 11, 2017

What's magical about Andrew Ng's courses is how quickly he takes you from beginner to actually building something. No better way to get and keep people engaged with new and challenging material.

By Chandan D

Jun 27, 2021

This Course was tough but was most exciting! It refreshed my concepts on different CNNs and I loved the Assignments! I can safely say that my understanding on CNNs got better after this course.

By Marko N

Aug 28, 2020

Really interesting course with some pretty good and diverse programming exercises like Object Detection, Face Recognition, Face Validation as well as Art Generation with Neural Style Transfer.

By kk s

Mar 30, 2019

please fix the following problem

week 4 Programming Assignments

Face Recognition for the Happy House - v3

Unable to load FaceNet

Can't load weights - deleting them is not solving the problem

By Jessica S

May 23, 2023

This course has been awesome! I entered the program from scratch and acquired advanced knowledge. I am extremely grateful to the instructors and the team for enabling me to grow in my career .

By Yauheni K

Nov 22, 2020

I learned so much about CNN. Also Andrew shares some papers that are worth to reed after all.

Despite some issues I faced during performing YOLO assignment on 3rd week, I liked it very much.

By Rohit G

Mar 26, 2020

A very coherent course, with a focus on the fundamentals, while showing the best practices in code. The wealth of knowledge present can only be appreciated over multiple readings and viewings.

By MohamedElshazly

Jul 20, 2018

I would really love the slides in one place like what was being done with the machine learning course, other than that it's great!!. Really appreciate the hard work from prof.Ng and his staff.

By charles

Jul 7, 2020

everything good so far, I finished 4 courses out of 5. But i might not want to continue the last one yet, since I am heading to a slightly different field, i'll come back when I have the time

By Sam D

Feb 18, 2019

One of the most fun courses so far, lots of good examples and workbooks to do. Had a lot of fun with the neural style transfer activity. Made a nice picture of my dog in the style of Picasso!

By Dipan M

Jun 25, 2018

This is the most definitive course on the subject. Must learn the most important basics about Convolutonal Neural Networks - from this course, in order to master the field of computer vision.

By 李俊宏

Dec 5, 2017

This course offers me a lot of insight into convolutional neural networks. The community is really active and ready to help. Thank you Andrew and all staff making great effort to this course.

By samir a

Jun 3, 2020

All the courses by Andrew Ng starting from Machine Learning to Specialisation in deep learning.ai is so good and align with current industry .It was really helpful for my career transition.

By Saurabh T

Oct 2, 2018

This is one of the best course I ever did. It provide much deeper knowledge related to CNN . Everyone who is interested in Computer vision must take this course for kick start in this field.

By M R A

Apr 9, 2018

Brilliant content, despite a few grader issues a great learning experience. The course covered key concepts and hopefully I will improve my understanding as I put them to use in my projects.

By almamon a

Dec 10, 2017

so valuable information even for thos who work in the field and not a beginner you will get advise , hacks and tips from someone who to solve a real world problems with most effective way

By Kanishk D

Dec 3, 2017

I was reluctant to take the course because of reviews mentioning problems with the practice notebooks but glad to see it working perfectly. Excellent material taught with unmatched precision