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Avis et commentaires pour l'étudiant pour Convolutional Neural Networks par deeplearning.ai

4.9
26,811 notes
3,234 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

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.

RK

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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226 - 250 sur 3,194 Examens pour Convolutional Neural Networks

par Eric L

Dec 06, 2018

excellent session impressive

par hrsu

Dec 06, 2018

very good

par Mohamad K

Dec 06, 2018

Its great course about deep learning computer vision. Make sure you take this course kuz DL and CV are both powerful Tech to process images and videos.

par Fahad A S S

Dec 07, 2018

Excellent course

par 郑帅帅

Dec 06, 2018

That's amazing!

par Pedro M H V

Dec 06, 2018

Beautiful depiction of convolutional neural networks: from the basic concepts, to their application in the context of computer vision. Great theoretical framework and application through thoughtful assignments.

par KUNIHIRO O

Dec 06, 2018

More! more!!!

par 罗炜儒

Dec 07, 2018

讲解卷积神经网络的知识详尽而到位,课后练习能较好的巩固课上所学习的知识,尤其是最后的人脸识别和风格转换作业十分有趣!美中不足的地方在于YOLO算法的课后作业并没有帮助我更好的理解该算法,以致于我现在还对物体识别之类的算法一知半解。

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 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 Anuj A

Dec 25, 2018

Awesome course to start with computer vision.

par Mohd. F I S

Dec 25, 2018

Just awesome

par Xin Y

Dec 09, 2018

the IOU function is tough....

par Prabhat K M

Dec 09, 2018

Just Amazing!!!

par Rebeen A H

Dec 09, 2018

Thank you very much

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 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

par Shebin S

Dec 26, 2018

Briliant course !!!

par Yusri D H

Dec 27, 2018

I feel so lucky to join this course

par NIKHIL R

Dec 26, 2018

perfect

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 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 dmitry p

Dec 27, 2018

great explanation and tutorials