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Back to Convolutional Neural Networks

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

4.9
stars
42,496 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

AG

Jan 13, 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.

FT

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

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2351 - 2375 of 5,633 Reviews for Convolutional Neural Networks

By Eric C

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Mar 18, 2018

this lecture really blew my mind. the teaching is excellent.

By Joanna K

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Jan 27, 2018

Nice course! Difficult terms explained in a very simple way!

By JM

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Jan 13, 2018

Exceptional well-prepared. State-of-the-art and challenging.

By Richard J B

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Dec 23, 2017

Excellent and fun overview of CNNs. Definitely recommended.

By Rahul K

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Dec 10, 2017

Well Explained .. Thanks Team for such a wonderful course :)

By Ramesh

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Dec 6, 2017

Great course. Easy to follow, lots of useful concept on CNN.

By Pau B

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Nov 23, 2017

When the grader works properly it will be a five-star course

By sdogijoijweofij

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Mar 19, 2024

kinda difficult but there were andrew's guidance and forum.

By Cuong T

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Dec 29, 2023

excellent course! give me lots of knowledge and information

By Mahmoud H

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Apr 27, 2022

Very Useful, Thank you so much for sharing your knowledge 鉂�

By Sylvester M

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Sep 25, 2021

This cleared up a lot of questions I've been curious about.

By Phichet I

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Sep 9, 2021

Excellent course on Deep Learning. Well designed exercises.

By Carlos A S A

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Oct 16, 2020

Amazing and challenging course, i think i've learned a lot!

By ABHAY B

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Sep 4, 2020

Explanation is best and programming exercises are also good

By rtester 0

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Jul 29, 2020

Wonderful, concise and to the point contents.

Good exercises

By Sayan H

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Jun 9, 2020

I am priviledged that I have gone through such great course

By Shivanand

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May 9, 2020

very depth understanding of industrial approaching problems

By John T Z

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Jan 28, 2020

Thanks a lot for the knowledge and the hands on homework :)

By Ali M

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Jul 28, 2019

Thank you so much. All the materials are explained perfect.

By Zoro S

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Sep 29, 2018

Very nice course !!!

I recommended it to all my colleagues !

By Darkwing D

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Aug 22, 2018

Slightly more technical but tremendously interesting class.

By Anik J

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Jul 5, 2018

It is one of the best series of courses for Deep Learning!!

By Rishabh K

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Jun 19, 2018

I love the way Andrew teaches, I can learn from him anytime

By Jochen R

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Mar 15, 2018

great course, thanks for providing. I'am greatful to attend

By sornpon w

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Feb 12, 2018

Complex theory look simpler when instructor is ANDREW NG!!!