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

4.9
stars
42,355 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

RK

Sep 1, 2019

This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.

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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2151 - 2175 of 5,619 Reviews for Convolutional Neural Networks

By Vagner Z C P

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Mar 16, 2022

Great foundational understanding and real-world applications of CNN!

By Jason G

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Dec 18, 2021

Well structured introduction to the fundamentals of Computer Vision.

By Taras S

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Oct 31, 2020

Appreciate so much for detailed comments in programming assignments.

By Michael R

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Oct 18, 2020

quite conceptually challenging, avoid if not comfortable with maths.

By Akshat T

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Jun 26, 2020

Thank you Andrew Ng for such a wonderful and informative experience.

By Santiago A A

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Jun 8, 2020

Very nice course. Easy to follow and with insightful practice cases.

By MADISHETTI S

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May 9, 2020

Really enjoyed learning Neural Style Transfer and Facial Recognition

By Ioannis B

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Apr 25, 2020

Amazing course as all the other part of the deep learning collection

By VINOD K R S D o C E I (

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Apr 1, 2020

Course is very...starting from the basic idea of image to the models

By DEV S

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Jan 12, 2020

It was amazing for me., especially yolo and face recognisation part

By Michalis P

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Dec 1, 2019

The Face Recognition notebook was an interesting and fun experience.

By Suraj S

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Sep 27, 2019

Awesome , a must do for every one who wish to learn Image processing

By Aniruddh S

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Aug 11, 2019

Great content and deep knowledge of learning provided by instructor.

By Nikhil D K

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Aug 5, 2019

This is yet another typically great course from Andrew and his team.

By Yuanzhan W

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Jun 21, 2019

Good introductory course to the powerful convolution neural network!

By Amélie H

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Mar 18, 2019

All you need to understand CNNs and start building your own network!

By Sai V K S

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Jan 21, 2019

Highly Recommended. The course explains in the best manner possible.

By Alexander T

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Dec 12, 2018

Great course to get insights about ConvNets and learn how they work.

By Francisco P

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Oct 6, 2018

Complex concepts, but really well explained and beautiful practices.

By Siddhartha B

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Feb 25, 2018

Slightly more difficult. But amazing pedagogy as always from Andrew.

By Ion L

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Dec 1, 2017

A big thank you for explaining the complex stuff in simple language!

By Danish B

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Apr 16, 2023

the content is fire, almost covered everything, thank you andrew ng

By Lucas F M

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Dec 20, 2021

Very interesting to know how machine learning is applied to images.

By RENE J E

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Jul 22, 2021

Very interesting course. It opened my mind and I really enjoyed it.

By 김대성

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Mar 1, 2021

Nice lectures and several demos were very good for learning the CNN