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

36,703 évaluations
4,766 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


Jul 12, 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


Dec 12, 2019

Great Course Overall\n\nOne 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.

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4576 - 4600 sur 4,717 Avis pour Convolutional Neural Networks

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 Hair P

Jun 24, 2020

This course is great, but it DEFINITELY needs to be updated to Tensorflow 2.0

par Xiaohua Z

Jun 11, 2018

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

par Shabnam M V

Jul 31, 2020

The explanations of the first 3 courses were better and easier to understand

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 W

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 Dong Z

Apr 17, 2020

Not very clear, still need to learn a lot to understand CNN.

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 Aman G

Aug 19, 2020

Programing assignments were more life fill in the blanks

par Xin H

Nov 11, 2019

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