学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈
课程概述
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DD
Mar 28, 2020
I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.
AM
Oct 8, 2019
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
7226 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 7250 个评论(共 7,283 个)
创建者 SATHVIK S
•Jul 26, 2020
Can dive deeper into the mathematics
创建者 Trevor M
•Nov 23, 2020
good lectures terrible exercises
创建者 Maisam S W
•Oct 4, 2017
I still find tensorflow hard.
创建者 Andrey L
•Oct 1, 2017
week 2 was extremely boring
创建者 Cheran V
•May 9, 2020
Outdated with Tensorflow 1
创建者 QUINTANA-AMATE, S
•Mar 11, 2018
Again, nice videos but not
创建者 Matthew P
•Sep 3, 2021
Focused a bit on minutia.
创建者 Adam G
•Jul 11, 2020
Multiple grading issues.
创建者 Chaitanya M
•Jul 1, 2020
could be more engaging
创建者 José A G R
•May 23, 2023
Estoy muy emocionada
创建者 Cory N
•Jan 8, 2020
Update for TF2.0 :)
创建者 Алексей А
•Sep 7, 2017
Looks raw yet.
创建者 Ilkhom I
•Mar 21, 2019
awful sound
创建者 Akhilesh
•Mar 14, 2018
enjoyed :)
创建者 Sai R
•Nov 9, 2022
Good
创建者 zhesihuang
•Mar 2, 2019
good
创建者 CARLOS G G
•Jul 14, 2018
good
创建者 Hoàng N L
•Feb 12, 2019
N/A
创建者 KimSangsoo
•Sep 17, 2018
괜찮음
创建者 Dave L
•Oct 3, 2024
The videos are good and go into a lot of the details. However, the programming tasks are not very useful. They basically expect you to plug certain lines into an almost complete programme, without really understanding what the individual lines - let alone the rest of the programme - really mean. Also, there is the occasional reference to lecture notes. However, those lecture notes are just the slides that are being used with hand-written annotations on top, and without the accompanying videos, they are not useful.
创建者 Fabrizio N
•Dec 7, 2018
Good course content and clear exposition by Andrew. The course material however is not of a good standard. The slides can be downloaded but after all the hand scribbles by the tutor, they are barely decifrable. Some are just blank pages that need to be filled in with screenshots from of the videos. The assignements are often just a copy and paste exercise, and Jupyter crashes cause frequent loss of work.
创建者 Goda R
•Feb 14, 2020
The video content is very good to get a good hang of theoretical aspects but the programming assignments are too spoon-fed because of which after doing filling the blanks, you don't feel confident enough to implement the same on your own. Instead the assignments should be changed to cases where instructions are given in words and entire function should be implemented by students.
创建者 André Ø
•Nov 30, 2017
The TensorFlow part of the course felt out of place and not of the same quality as the previous material. It would have been better if another week was spent using TensorFlow to actually improving a NN and not just copy-paste an example into the assignment. Even after using TensorFlow in the assigment and passing, working with TensorFlow still
创建者 Sergey K
•Jul 6, 2020
In general the course isn't deep enough. There are no summaries of the lectures, there are no excercises during lectures, the programming assignments are very weak, they don't challenge the use of lectures or anything - all necessary data are in the notebooks. All this course will be lost in a week.
创建者 Ivan I P
•Apr 28, 2023
Sadly the last course assignment didn't compile properly in the sections that were outside the "graded functions" (more specifically in Week 3). Also some of the questions of the quizzes were intentionally misleading but for very unimportant details.