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deeplearning.ai 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

4.9
34,626件の評価
4,434件のレビュー

コースについて

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....

人気のレビュー

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.

RS

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.

フィルター:

Convolutional Neural Networks: 4201 - 4225 / 4,391 レビュー

by Till R

Mar 07, 2019

Would have liked to learn more about why various architectural choices are made when building deep networks. The nitty-gritty details and Python exercises were a little boring.

by Mostafa M

Aug 30, 2019

The last week (week 4) was not explained in enough detail. I was often frustrated because i was finding myself not fully understanding the concepts because of missing details.

by Claire L

Mar 04, 2018

Content was great but the grading issues with the homework assignments made this course very time consuming and frustrating. Will recommend it when grading issues are fixed.

by Aditya K

Apr 16, 2020

The theory part is outstanding, concepts explanation is great but the programming assignments are not updated to TensorFlow 2.x that's an issue else everything was nice.

by Marco L S

Dec 10, 2019

I hoped there would have been a more theoretical explanation and also talks about why some nets are done in this way rather than another; it seems like it's all magic.

by Arjun V

Mar 18, 2020

Liked the concepts overall. The tieing up of basics concepts across different use cases could've been better explained from first principles and for better intuition.

by Sebastien M

Aug 01, 2018

I spend 1 week on the last assignment due of one bug. I am disappointed but the content of the course was good. Please next time react faster for correcting bugs

by Stanislav C

Jan 29, 2018

Grader in the last assignment is wrong. It has been reported in the discussion forums several months ago and still hasn't been. Apart from that, great content

by Jesus A F

Jan 20, 2018

The course gives you a good introduction to NN. However, the grading is buggy, and the content rather superficial. It gives you a false sense of achievement.

by Stefan M

Jun 14, 2019

The homework assignments, compared to the other courses, where pretty low in quality. If these errors get corrected, I'd happily give this course 5/5 stars.

by Uddhav D

Jun 07, 2019

Some issues regarding the submission of assignments and some minute mistake in the videos and assignment. Although great teaching by Andrew as always :)

by Karol K

Dec 03, 2017

Issue with triplet loss function shouldn't happen. I had to remove "axis = -1" in order to pass grader even though function had produced wrong answer!!!

by Dmitry

Nov 30, 2017

There are a lot of issues with programming assignments grader (I've spent one hour to complete assignment and two days to make a grader to get it)

by Roel H

Jun 22, 2018

The programming assignments contain bugs. Also the jupyter notebook kept on shutting down thus slowing down the learning process quite a bit :-(

by Kalana A

Jan 25, 2019

Certain Parts are not that much clear. Specially like in the triplet loss function, until the coding was done the real procedure was not clear.

by Kanishka D

Dec 27, 2017

the assignment setup and graders are not updated after reporting issues several times which caused a great deal of frustration among students.

by Felix P

Nov 20, 2017

The last exercise it was a litle annoyng, it took me almost five days to figure out how to solve the face recognition because a grader fault.

by Serkan Ö

Jun 10, 2018

There were repeats in the videos🤔 Also the answers to quizzes are not visible. If these would have existed, 5 stars would be reasonable.

by Rüveyda K

Mar 17, 2018

Sometimes it was very difficult to understand lecturer because of his accent, but apart from that, assignments and lessons were helpful

by Stephen D

Mar 17, 2018

This course is pretty good. Some things are not explained as well as Prof. Ng typically explains things, especially in the last week.

by Carol S

Jul 19, 2020

The Neural Style Transfer notebook seems to have makes it difficult in the last panel to access the generated_image global variable.

by Jkernec

Jan 12, 2018

The assignments need to be reworked as they are quite confusing and the grading system is flawed especially for the last assignment.

by Jnana R D

Mar 13, 2019

More simple lectures with illustrations required and also graders need to fixed. Had a lot of time wasted because of buggy graders

by VORA N

Jun 11, 2020

It has very less explanation about working of back propagation of convolution network,

plus it can explain YOLO in much better way

by Aoun L

May 29, 2018

The course is great but the assessments and grading is terrible, so many particularities and repetition that does not make sense.