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

4.9
stars
42,300 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.

AV

Jul 11, 2020

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

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1876 - 1900 of 5,610 Reviews for Convolutional Neural Networks

By Fabio P

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May 20, 2020

Very interesting course. A nice blend of presentations and assignments. Congrats.

By Itai D

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Apr 11, 2020

Great course up to date with the research in this domain, very good assignments !

By KISHALAY D

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Jul 30, 2019

Well organised and structured course!Very helpful for people who are new learner.

By Xenofon C

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Apr 8, 2019

Helpful information provided clearly with access to discussions and error reviews

By SW J

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Mar 13, 2019

It's very helpful to understand cnn and its apply to face recognition. Thank you.

By Zian Y

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Feb 17, 2019

The assignment system is horrible for the last homework. Everything else is good.

By uma m r m

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Sep 25, 2018

This course covered most of the basics required for computer vision. Good course.

By Echedey L

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Aug 11, 2018

After this course you'll know how to handle yourself with convolutional networks.

By Ngoc M B

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Aug 3, 2018

Good course for deeper understanding about CNNs & state of the art CNN techniques

By Frederik C

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Apr 26, 2018

altough I don't want to focus on computer vision, I really liked the case studies

By Stanley F

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Dec 3, 2017

Very interesting! Really like that recent papers are incorporated into the course

By Christian B H

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Oct 26, 2023

Feel more confident now after finishing this course. Thanks to everyone invoved!

By Jonas J

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Apr 3, 2021

Learnt a lot just as in the other courses! Best Deep Learning course out there:)

By Gabriel L

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Nov 12, 2020

Un excelente vistazo general sobre tratamientos de imagenes en Machine Learning.

By edgar v

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Oct 26, 2020

Se puede experimentar un poco más con Keras para hacer modelos desde alto nivel.

By Diego F V M

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Oct 3, 2020

Excellent explanations... and the programming assignments are quite interesting!

By Alfath D A

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Sep 8, 2020

Andrew Ng Is a teacher that i wish i had in my machine learning class in college

By Satyam S

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Aug 20, 2020

Interesting, Very Good Teaching and Content with excellent formulating functions

By Jyotin P

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Jul 17, 2020

One of the coolest courses which allows us to implement cool things from scratch

By Galib H K

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Jul 12, 2020

Excellent course. It was really practical and easy to understand. Learned a lot!

By Karthik S K

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Apr 22, 2020

this code is very easy to understand eve if you have only basic coding knowledge

By Dennis O

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Apr 18, 2020

Excellent overview of the topic with real world examples I can apply right away.

By 赵凌乔

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Sep 11, 2019

The experience of checking docs ourselves is great and useful for practical use!

By Ashery M

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Aug 23, 2019

Andrew is the great teacher, he knows how to made difficult concepts seems easy.

By Weipeng H

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Jun 23, 2019

I love the Easter egg presented by Andrew, it bring so much fun with the course!