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Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par

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3,078 avis

À propos du cours

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

Meilleurs avis


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.


Sep 02, 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.

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126 - 150 sur 3,047 Examens pour Convolutional Neural Networks

par David J

Nov 07, 2018

Excellent course!!

par Pham X V

Nov 06, 2018



par 段永耀

Nov 06, 2018


par rakesh c c

Nov 06, 2018

I have no words other than always thinking "why did i miss this so long", it cleared lot of concepts where i am very confused previously on CNN. I need more courses from Andrew.. please..

par Jun W

Nov 06, 2018

I learned a lot from the course. It gives me the base knowledge that I will use in future projects.

par Siddharth S

Nov 07, 2018

Excellent course. Would become perfect if the assignments were more free and less code was already written in them.

par Sankrutyayan T

Nov 07, 2018

It has been monumental.

par Thrilok N

Nov 23, 2018

Gives a Bird's eye view of CNN' s use cases and the helpful for someone to get to know hoe tough is Machine vision :)

par Kevin

Nov 23, 2018

Thank you to Prof. Andrew Ng and team again for another great course. A fantastic course if you want to learn about computer vision.

par David P

Nov 23, 2018

Be able to understand state of the art technique in object detection and recognition, also get to know a big picture of many architectures in CNN.

par Ndirangu N w

Nov 24, 2018

great material and excellent explanation

par Igor R

Nov 23, 2018


par Yi-Chia C

Nov 25, 2018

Perfect course learning CNN and other image processing knowledge.

par Rajan K

Nov 09, 2018

Many thanks again for introducing CNN in such a detailed and easy to understand manner. Lot of regards to Andrew. Great teacher!!

par Manh T D

Nov 09, 2018

Learnt a tons about convolutional neural networks and computer vision algorithms. Thank you very much professor!!! Hope to see many more of your courses being offered in Coursera, especially those about Machine Learning and Deep Learning!

par 刘尧

Nov 09, 2018

Great! I am very happy that I learnt a lot in this course.

par Brandon d T

Nov 26, 2018

Great, interactive course. Learned a lot and there were a lot of relevant real world applications

par Yancey S

Nov 26, 2018

Excellent introduction into the fundamentals and applications of deep convolutional neural networks

par Jhon S

Nov 26, 2018


par Man M S

Nov 25, 2018

Very good course. It gives lot of technique and ideas that will help in solving complex problems.

par Eche I

Nov 26, 2018

An eye opener into the internal workings and applications of CNN in real life..

par Alexander Y B

Nov 26, 2018

Very good course mainly due to very clear explanation from base to top of the concept. With links to original papers as well.

par Vinay M

Nov 10, 2018

A mandatory course to start CNN understandings.

par Enoc M

Nov 11, 2018

Im 4/5 on the specialization, ant this is the best course so far!!

par Prateek J

Nov 10, 2018

This is my first Coursera Course and I am very happy to complete this. The content is varied and Andrew teaches the course very intuitively. His lectures are never boring.