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Convolutional Neural Networks に戻る による Convolutional Neural Networks の受講者のレビューおよびフィードバック



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....



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


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.


Convolutional Neural Networks: 4576 - 4600 / 4,719 レビュー

by rudy F

Nov 23, 2017

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

by Paul H C

Oct 21, 2018

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

by Alan P

Dec 09, 2017

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

by Tom B

Jul 24, 2018

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

by Maysa M G d M

Apr 28, 2018

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

by Ishan B

Jan 18, 2018

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

by Hair P

Jun 24, 2020

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

by Xiaohua Z

Jun 11, 2018

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

by Shabnam M V

Jul 31, 2020

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

by Alec G

Mar 02, 2019

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

by 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

by James W

Feb 13, 2019

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

by Kim Y

May 14, 2018

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

by Alex K

Jun 07, 2019

Good content but the Coursera homework platform is severely broken.

by Iván I

Oct 26, 2019

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

by Kshitij S

Oct 15, 2019

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

by Himanshu A

Aug 23, 2018

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

by Adriano C

Mar 27, 2020

There are many things to improve in the programming assignment

by Dong Z

Apr 17, 2020

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

by animalecs

Mar 04, 2020

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

by Srijan G

Jan 04, 2020

The programming difficulty suddenly increased exponentially

by Michał Ł

May 12, 2018

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

by Yiyun Z

Jan 16, 2018

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

by Jonathan B

Nov 25, 2019

Good content but assignment grading has lots of problems!