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

4.9
stars
42,318 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.

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.

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2176 - 2200 of 5,613 Reviews for Convolutional Neural Networks

By Yogesh H

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Jun 19, 2020

Best way to understand the fundamentals of computer vision and CNNs

By shivam

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Apr 20, 2020

Must for almost every professional in the field of Deep learning .

By Muhan L

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Apr 10, 2020

great course! i think it's better to move corrections before videos

By saranya A

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Apr 4, 2020

It is really nice and strong course of convolutional neural network

By Alexandre F

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Feb 11, 2020

Comprehensive in-depth introduction to CNN & standard architectures

By Mohamed S R I

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Jun 7, 2019

I learnt a lot about the field of computer vision from this course.

By Anupam T

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Jan 31, 2019

One of the best i have gone through. Assignments are well prepared.

By Raj

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Jan 17, 2019

Most exciting and most challenging of all courses in specialization

By Akshat R

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Dec 22, 2018

Perfect to have an overview and focus on the specifics as required!

By Pramod K

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Sep 28, 2018

A great practical course to learn how to apply CNN to your problem.

By Dalai Y

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Sep 18, 2018

very good introduction course, a bit harder than the course 1, 2, 3

By Akshay J

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Sep 15, 2018

Fabulous course. Helped me a lot in understanding CNN nitty-gritty.

By Andrew B

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Sep 8, 2018

Interesting course on CNN. Information is presented in nice manner.

By Amey N

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Mar 26, 2018

Good introductory course. Exciting applications in the assignments.

By Anubhav B

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Mar 6, 2018

Best course till now. Learn a lot of things. Thanks Prof. Andrew Ng

By RB

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Feb 25, 2018

Great course on the revolutionary CNN method for image recognition.

By Prashanth M C R

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Jan 2, 2018

Excellent content. Andrew does a great job explaining the concepts.

By Sanchit

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Dec 18, 2017

Andrew NG at his best! Really un-complicates such complex concepts.

By avidor g

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Dec 7, 2017

Harder than the previous courses and that's for the better. Thanks!

By Joel O

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Dec 4, 2017

This course is one of the most fascinating I have ever come across.

By Shaojun Z

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Nov 29, 2017

Overall, the course is great. But the exercises have some mistakes.

By Kuong I L

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Nov 26, 2017

Thanks for the well-prepared course. I learn a lot from the course.

By Xianmin “ C

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Nov 25, 2017

Well structured lectures and nice project design for online courses

By Rybakov O

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Nov 13, 2017

Great introduction, helpful homework, I really enjoyed this course!

By 董川越

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Jul 21, 2023

cover various topic in CNN, hope to update with state of art model