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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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2151 - 2175 of 5,610 Reviews for Convolutional Neural Networks

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

By Debarun G

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Sep 14, 2020

this is the best course now i can start making ai powered softwares

By Enam B

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Aug 23, 2020

Best course in this Specialization. You will like it, I can ensure.

By Pedro V

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Jul 18, 2020

A very good course for learning more about object detection and CNN

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 .