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

4.9
stars
42,232 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

AV

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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

YY

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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.

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1276 - 1300 of 5,600 Reviews for Convolutional Neural Networks

By Mohammed K

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Aug 26, 2020

Very good course. Learnt a lot of new things. Thank you Andrew Ng for explaining such a complex subject in simple english.

By P. S S

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Jul 30, 2020

Great course content and practical assignments, which help in understanding the concepts better. And, an amazing teacher!!

By Sparsha D

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Sep 11, 2019

Beautiful course work. Just loved it..Please include mid questions. It was very helpful in learning the content very well.

By Jinxiang R

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Jun 9, 2019

I'm so grateful that I learn a lot from this course, thank you again for Andew and his team for preparing such good course

By Agri A

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May 17, 2019

Prof. Andrew Ng, along with the team, successfully deliver advanced level course that is thorough, yet easy to understand.

By Ignatovich A

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Oct 2, 2018

A great course for those who are already familliar with some mathematical concepts and would like to know more about CNNs.

By Wei-Lin C

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Sep 19, 2018

The content is really useful but the assignment could be more challenge and maybe add a tutorial of Keras and Tensor flow.

By Kun W Y

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Mar 4, 2018

Very good course, though the implementation of CNN back-propagation isn't explained very clearly in the video lectures. :3

By Prasanna K

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Nov 25, 2017

Awesome course. Videos, Notes and Assignments really solves the purpose. Looking forward to do more courses from the team.

By Jose M

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Jul 12, 2020

Very useful knowledge to apply on a real environment. Clear information and well explained. Well done Andrew Ng and team!

By Yash K S

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May 24, 2020

Excellent course to learn the basics of Convolutional Neural Networks. Highly recommended for all beginners in the field!

By Vishwaraj S

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May 17, 2020

this was a really great experience learning computer vision to this extent from zero to large extent thanks coursera team

By Rafael E

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Jan 19, 2018

Awesome course!

I started with this one, and look forward to completing all the other courses in the DL specialization!

By Richard H

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Dec 8, 2017

Excellent bridge between the earlier courses on concepts and practices into practical use cases using cutting-edge tools.

By Mohit G

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Nov 28, 2017

Very informative course. Made it easy to understand complex concepts of CNN. I am very happy after finishing this course.

By Anant G

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May 12, 2021

Its an excellent course, it has opened my mind in a different way towards understanding of convolutional neural networks

By Manuel R

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Feb 5, 2021

Great Course. It is interesting to learn how Convolutional Neural Networks allows us to reduce computational parameters!

By Isuru A

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Jan 12, 2021

Superb course, I love the way how Prof. Andrew explains the stuff. Looking forward to complete the entire specialization

By Rishabh M

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May 12, 2020

its really deep .A well designed course with a great tutor .A great course to start with easy and efficient explanations

By BlueBird

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Sep 5, 2019

Thank Professor Andrew Ng for offering this course. It has helped me understand the basic principles of Computer Vision.

By Joshua P

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Aug 27, 2018

Phenomenal, well instructed, and assignments give you both the experience and the inspiration to apply CNNs on your own.

By Salamat B

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Aug 8, 2018

Really like content of this course. It is amazing that now I can understand recent paper in convolutional deep learning!

By Ganesh R

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Aug 6, 2018

Good course to start on CNN and basics of it. Introduction of other standard CNN models are really worthy to understand

By Athul R

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Apr 17, 2018

It is a very well organised course. I wish I could learn more about adversarial networks as well as Adversarial Attacks.

By Qian H

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Apr 2, 2018

Nice course! You do not need focus too much on the tf stuff, and the assignments provide you enough hints. Thank you Ng!