学生对 DeepLearning.AI 提供的 Convolutional Neural Networks 的评价和反馈
课程概述
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NK
Jul 10, 2024
Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!
FH
Jan 11, 2019
Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.
5276 - Convolutional Neural Networks 的 5300 个评论（共 5,641 个）
创建者 A 6 W A
•Sep 22, 2020
great course
创建者 Steve d l C
•Aug 27, 2020
good course
创建者 Sahil M
•May 5, 2020
The Besttt.
创建者 ANKUR G
•Sep 14, 2019
informative
创建者 Sonia D
•Jan 30, 2019
Very Useful
创建者 Luca M B
•Aug 1, 2018
Quite nice.
创建者 AYOUB A I
•Sep 2, 2021
Thank you!
创建者 Rishi J
•Jul 25, 2020
Insightful
创建者 Yehang H
•Jan 2, 2018
Some error
创建者 Mohamed A M
•Oct 5, 2020
thank you
创建者 Yashwanth M
•Jul 16, 2019
Very Good
创建者 Dave L
•Jul 10, 2020
good job
创建者 PRASANNA V R
•Jun 30, 2020
Decent
创建者 Krishna P D C
•Mar 30, 2020
Thanks
创建者 Niranjan A
•Nov 25, 2017
Great
创建者 Hozoy
•Feb 22, 2022
good
创建者 Sumera H
•Sep 13, 2020
good
创建者 Isha J
•Apr 5, 2020
good
创建者 Subhash A
•Mar 26, 2020
good
创建者 VIGNESHKUMAR R
•Oct 23, 2019
good
创建者 Rahila T
•Oct 8, 2018
Good
创建者 naveen k
•Jul 16, 2018
good
创建者 Panchal S V
•Jun 28, 2018
Good
创建者 CARLOS G G
•Jul 24, 2018
g
创建者 Volodymyr M
•Apr 23, 2020
This is not an education in any way. Yes, Convolutional Neural Networks provides good overview of convolutional networks and technology behind it. I like the way Andrew Ng structured material and his way to explain some details. Unfortunately, as a common problem for all "Deep Learning Specialization", theoretical material only scratches the surface of the knowledge. There is nothing deep in terms of theory. You will have to spend quite a lot of time digging for information yourself if you plan to use course material for any practical task, or assignment. In order to get missing pieces, I got to go through whole Spring 2017 CS231n. It is fine if you have enough time to see two sets of videos, but I expected to get same quality of material here, on Coursera.
Another course issue is quizzes. I am puzzled what these quizzes are testing. Provided answers often assume tentatively more than one correct variant. Probability theory works against you - you may happen to select correct answers for some questions , but definitely, not all of them. In the same time, it is quite easy to derive correct variant from second try.
Course programming assignments are complete disaster. While I kind liked programming assignments from week 1 and 2, I felt like I wasted my time working on programming assignments from week 3 and 4. I expected programming assignment to guide me through some training of complex networks, give some practical insight, which I can use for real-life tasks, but it was not there.
There is a good introduction to TensorFlow, while Keras is not even touched. And many assignments of week 3 and 4 are using Keras. It is necessary to peek-up theory and practice regarding Keras elsewhere. After one get enough knowledge about Keras elsewhere - guess what - programming assignment becomes useless as education, because it is too trivial.
I really wanted to rate this course as Two-Stars, but video materials and programming assignments from week 1 and week 2 slightly improved my attitude.