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

25,494 notes
3,069 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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51 - 75 sur 3,036 Examens pour Convolutional Neural Networks

par gregorius a

Dec 05, 2018

Love It Very Much, Thank You Andrew Ng

par Daniel G

Dec 06, 2018

Wie immer, ein sehr guter Kurs, verständlich erklärt und tolle Programmierbeispiele. Ich freue mich schon jetzt auf den nächsten Kurs.

par 罗炜儒

Dec 07, 2018


par Aditya k

Dec 20, 2018

Thank you so much for this course! very useful

par Muhamad N A

Dec 23, 2018

awesome course thanks for these greet efforts

par Akshat R

Dec 23, 2018

Perfect to have an overview and focus on the specifics as required!

par Xudong L

Dec 21, 2018

Thank Andrew for providing such a great course!

par Chen Z

Dec 21, 2018

I learned a lot from this course.Thanks!

par Daniel M M

Dec 22, 2018

By far the hardest of the first four courses in the specialization, but incredibly useful and interesting.

par Utkarsh G

Dec 23, 2018

Difficult concepts made easier.

par Buddhiprabha E

Dec 09, 2018

Another great course by Andrew! The course is very interesting and Andrew takes every effort to make things clear to the students. Thank you for the wonderful course!

par Prabhat K M

Dec 09, 2018

Just Amazing!!!

par Xin Y

Dec 09, 2018

the IOU function is tough....

par Rebeen A H

Dec 09, 2018

Thank you very much

par Anish R P R

Dec 23, 2018

excellent material

par Harri P

Dec 24, 2018

This course was quite challenging, but very rewarding! After completing this course I think I have a pretty good basic understanding of convolutional neural networks and their applications. Andrew Ng is an excellent teacher!

par Mohd. F I S

Dec 25, 2018

Just awesome

par Octav I

Dec 23, 2018

Great lectures, really well explained, assignments have a good balance for such a hard topic. Maybe another short intro/ optional assignment on keras generic model/layers/activation approach could help.

par Alec R

Dec 13, 2018

This course has exceptionally clearly laid out and easy to follow descriptions of all the major CNN algorithms

par Bhaskar D

Dec 13, 2018

Excellent course. Among all the courses in the specialization, found this one to be hardest (personal view). Great support in discussion forums from the tutors.

par Sarvesh d

Dec 13, 2018

I found it great

par Alexander T

Dec 12, 2018

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

par Justin K

Dec 12, 2018

Phenomenal course that gets you up to speed quickly understanding CNNs including being able to read the literature

par Daniel A P C

Dec 25, 2018

this course is an excellent introduction to artificial vision, Even though I had a lot of problems with the jupyter notebook in the programing assignments, I learned a lot from this course


Dec 26, 2018