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Convolutional Neural Networks に戻る

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
40,630件の評価

コースについて

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

人気のレビュー

AR

2020年7月11日

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

AG

2019年1月12日

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.

フィルター:

Convolutional Neural Networks: 5151 - 5175 / 5,361 レビュー

by Mathias E

2021年10月25日

V​ideos were mostly great!

Expected more of the written material (quizes, assignments, etc.), not the quality I would expect from something I've paid for...

by Uddhav D

2019年6月7日

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

2017年12月3日

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 Дмитрий Х

2017年11月30日

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

2018年6月22日

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

2019年1月25日

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

2017年12月27日

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

2017年11月20日

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 Sergio B

2020年12月13日

I enjoyed the courses but I would like more practice, maybe a different module or examples aimed to help you define and optimize our models

by Serkan Ö

2018年6月10日

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 Reyrey

2018年3月17日

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

by Stephen D

2018年3月17日

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

2020年7月19日

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

by Jkernec

2018年1月12日

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

2019年3月13日

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

by NEEL V

2020年6月11日

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

2018年5月29日

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

by Sudhanshu D

2018年4月8日

Week 3, exercise 2 is very buggy. Couldn't have completed it without the discussion forum. Kindly fix it for the future learners

by Ankit R

2019年10月7日

Found it really difficult to submit programming assignments, at times the jupyter notebooks were not at all responsive.....

by Gowdhaman S

2018年4月22日

Course content was good but lack with hands-on projects. It would be really helpful if the team could add capstone project.

by vishwanathan r

2017年11月15日

There should be a way through which folks can download the entire zipped contents of the programming and also the lessons.

by Carmine M

2018年4月12日

Very interesting and with high quality material. It could be improved by adding more tutorials about the frameworks used.

by Corbin C

2018年6月1日

Poorly edited videos, poorly worded (bordering incorrect) quiz questions, buggy notebook. Good, useful content, though.

by Bence K

2020年1月29日

The content of the course was perfect. But the support for the issues and the feedback for the forum threads is awful.

by Siarhei K

2018年3月28日

For the YOLO part would be nice to have explanation for how to set up training set and train your own object detector.