Chevron Left
返回到 Convolutional Neural Networks

學生對 deeplearning.ai 提供的 Convolutional Neural Networks 的評價和反饋

4.9
40,116 個評分
5,312 條評論

課程概述

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....

熱門審閱

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.

RK
2019年9月1日

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.

篩選依據:

5201 - Convolutional Neural Networks 的 5225 個評論(共 5,283 個)

創建者 Elias F

2017年12月24日

Overall it's a very comprehensive course with a broad set of topics which I found insightfull. However, the programming assignments, in particular the Happy House, was done in a rush due to errors in the models and code provided. Part of the assignment couldn't be tested just for the lack of access to the model and evaluated its results after its grading. The forums were also crowded with many threads talking about similar issues. Hope you can improve this section in order to create a more solid course.

創建者 Roberto C

2017年11月29日

Very buggy, videos having problems (like repeating phrase), many errors in notebooks so that you spend more time trying to understand why grader doesn't work than on actual exercises...

The explications are either too simple or too sketched, so that you never really understand where difficulties are. The programming exercises are hard on the programming part and too easy on the math part, essentially what it is difficult is using tensorflow and keras with little or no explications.

創建者 Deleted A

2021年1月5日

Good course overall, but the week 3 assignment has a bug. There are discussion posts with 19K people saying they can't solve it, and the TA even says he can't fix the bug in the discussion.

I did the whole course, but couldn't finish because this bug in one problem made me fail the whole assignment. Coursera's help center did not care at all. This course is a robbery because you literally cannot pass it with this bug, yet I can't get a refund.

創建者 Darren T

2019年6月9日

The "mentors" that are supposed to help answer questions in the forums are essentially useless. They rarely answer questions, and when they do, they often don't provide any useful information and answer a question that is not what the person asked. For one of the assignments, many of the necessary files were missing, making it impossible to complete. That said, Andrew Ng is a great explainer and the course content is generally excellent.

創建者 Clinton R I

2017年12月14日

Content was solid, however too much to fit into 4-weeks. Had issues with technical errors on every single assignment. The last two weeks assignments exhibited both grader errors and work-loss errors - for both weeks (last 3 assignments) jupityr notebooks dumped significant amounts of work despite session saves, and submissions ran into 0 values for some assignments, that were later given full credit in later submission attempts.

創建者 Matt W

2017年12月29日

i had to fudge most of my submissions to make them fit the broken graders - and that was for those that actually had sufficient explanations in the material, and assuming the material was accurate. some areas are well explained, and its clear what's required, but others take huge leaps of expectation with little guidance, leaving the student to use trial and error to figure out what the expected solution is. that's very poor.

創建者 Xinxing Y

2020年5月8日

This lecture is very helpful and informative. One weak point is that there is little information on Tensorflow which makes the assignment unclear. What makes this worse is the assignment can waste you a lot of time (To be honest, my same code get different grades). And I cannot believe the team hasn't fixed any of them for over two years. There are a lot of discussions already. Coursera should really look into this.

創建者 Mehran M

2018年7月4日

Started this course with high expectations, coming from the previous 3 courses.Boring assignments, uninteresting topics (such as YOLO and neural style transfer), horrible video edits and Jupyter notebook issues ruined this course for me.The previous 3 courses were excellent, but this course needs more work. I wish there was more depth to the content, similar how the content were presented in the previous 3 courses.

創建者 Stephen D

2017年12月26日

The videos need editing. Ng repeats himself in several places as he tries to explain an idea. The programming assignments use too many global variables. The programming assignments real challenge seems to be in reshaping tensors when the reshaping is unnecessary. The wording of the problems in the quizzes needs improvement and clarification.

I liked the content. This course didn't feel polished like the others.

創建者 Daniel L

2018年6月27日

Too much focus on YOLO and other very computer-vision specific applications. The general introduction on ConvNets is good, but there are other applications than stuff for self-driving cars. I wish the examples were more diverse. In addition, the Jupyter notebooks used in this course are extremely unstable. You're unable to save your progress, and there will be problems submitting your coursework.

創建者 Navid A

2020年8月27日

While I enjoyed Andrew's course on NN, I am a bit disappointed with his CNN section for one major reason: he did not explain the philosophy behind filters, etc. Instead, he tried to cover too many things based on the latest developments in the field of CNNs. Take this course if you don't mind being exposed to the subject without understanding deeply (no pun intended!).

創建者 Jan L

2017年12月27日

The course itself is great, but the grader is seriously broken and the staff has not been willing to fix it for more than a month. So basically when you are finished with correct implementation, you spent lot of time in frustration trying to get through the grader, then you go to the forum and find out what need to be changed in your solution to pass the grader...

創建者 Andrew O

2021年2月14日

Course material is informative but when asking for help grading they just point you back to the discussion forums (i.e., no help). Having the output of the grader actually show what your output is would be helpful rather than just saying, "wrong, try again." This is especially true if your output in the assignment matches the practice example. Very frustrating.

創建者 Alex S T

2018年11月9日

The first two sessions are very well explained, with clear and precise examples. However the last two sessions, are explained in a very superficial way, without a good example, the explanation of these sessions are not deepened, the practical exercises don't teach how the problem is really solved. To truly learn, it is necessary to go out searching the internet.

創建者 Jonghyun K

2020年5月5日

The subject of the lectures are good. However, Andrew's voice is still relatively small with other noises.

Also, there are quite a lot of times when same words are repeated in the audio.

Finally , during the lecture a felt a little bit of sinocentrism from Andrew.

創建者 openrasmus

2020年7月26日

Multiple of the videos have editing issues and repeat clips. Programming excercises were good, but final programming exercise was a pain to finish, not cause of difficulty but cause of having to debug code without any proper feedback on whats wrong.

創建者 HAMM,CHRISTOPHER A

2018年5月26日

The lectures were taught far above the heads of my colleagues and I and the practical exercises were far too simple. I really wish the instructor took a course on pedagogy or went through Software Carpentry instructor training.

創建者 David C

2017年12月24日

Week 4 videos were not edited at all. Week 4 lecture slides were not available for download. Week 4 programming exercise grader had significant errors such that the incorrect solution needed to be coded in order to pass.

創建者 Stoyan S

2018年7月29日

Some of the topics were not explained in enough detail and felt like being quickly skipped. There were some problems with the grader system in one of the assignments which wasted a lot of time and caused frustration.

創建者 Bryan L

2018年1月21日

Content was great but a very buggy grader in week 4 made for a stressful experience that upset many students. Grader bugs caused me to repeat the course in another session and those bugs remained in the next session.

創建者 Oswaldo B F

2017年12月1日

Programming assignments did not deal directly with the CNN models, but with auxiliary functions. Hacking the grader was more important than getting the right answer. Videos should have been better edited too.

創建者 Vihar K

2018年6月6日

Lectures are awesome, really inspiring and intuitive.Trouble with submitting assignments. I've solved the given question and resubmitted for almost six times, but the kernels showing up errors.

創建者 Carlos E L

2018年7月12日

Horrible user experience with the "Jupyter Hub" constant issues that makes trying to do the exams an absolute nightmare and a perfect anxiety booster!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

創建者 Dario d J B U

2019年11月15日

In some tasks the delivery format is arbitrary and does not specify well what is wanted, that is, so the numerical value requested is good, the output is incorrect. due to format issues.

創建者 Aman B

2020年7月23日

Programming part was not explained well. I guess programming syntax and flow of code should be explained too instead of just telling theory or focusing mainly on theory.