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Avis et commentaires pour d'étudiants pour Convolutional Neural Networks par

29,173 évaluations
3,561 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


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.


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.

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3401 - 3425 sur 3,529 Avis pour Convolutional Neural Networks

par Chenming X

Nov 17, 2018

It is hard to understand the code and the training is limited in the coding homework.

par rudy F

Nov 23, 2017

course was good but server/grader bugs in the programming tests were demotivating...

par Paul H C

Oct 21, 2018

Really interesting from a theoritical standpoint but the exercise are too guided..

par Alan P

Dec 09, 2017

Too much bugs in program assignment and sometimes the instructions are not clear!!

par Tom B

Jul 24, 2018

programming assignments are of lower quality than previous sections of the course

par Maysa M G d M

Apr 28, 2018

I would like to see the implementation from scratch, not only pre-trained things.

par Ishan B

Jan 18, 2018

There were issues with the Coding Assignments. Lots of inconsistencies in grading

par Xiaohua Z

Jun 11, 2018

Terrible grading system waste u tons of time.The content itself is excellent.

par Alec G

Mar 02, 2019

The grader was frustrating on the programming assignments, especially week 4

par Samuel C

Nov 26, 2017

Class itself is great, but the buggy grader software should be fixed timely


Mar 02, 2019

Grading process/grader need to be improved for Week 3 and 4 assiignments

par James A W J

Feb 13, 2019

Some of the coding assignments had major issues that need to be fixed.

par Kim Y

May 14, 2018

need to teach us more about tensorflow to do last week's assignments

par Alex K

Jun 07, 2019

Good content but the Coursera homework platform is severely broken.

par Iván I

Oct 26, 2019

The videos are not properly edited. Exercises are not very useful.

par Kshitij S

Oct 15, 2019

A bit difficult than prior courses. Still, enjoyed learning. :)

par Himanshu A

Aug 23, 2018

The convolution operator seemed a bit abrupt in the first week.

par Adriano C

Mar 27, 2020

There are many things to improve in the programming assignment

par animalecs

Mar 04, 2020

The FaceNet assignment is bugged as hell! Please fix it ASAP

par Srijan G

Jan 04, 2020

The programming difficulty suddenly increased exponentially

par Michał Ł

May 12, 2018

Very nice course, but grader issues kill all the pleasure.

par Yiyun Z

Jan 16, 2018

The the Yolo assignment, the IOU part has grading problem!

par Jonathan B

Nov 25, 2019

Good content but assignment grading has lots of problems!

par Xin H

Nov 11, 2019

Some of the details are not very good just like yolo.

par André T D S

Oct 02, 2018

Bugs in the programming assignments kills the flow.