学生对 DeepLearning.AI 提供的 Natural Language Processing in TensorFlow 的评价和反馈
课程概述
热门审阅
FQ
Oct 26, 2023
I already had some theoretical background from the Deep Learning Specialization from Andrew Ng, but with this course, I feel much more confident about building real-world applications with TensorFlow.
GS
Aug 26, 2019
Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!
926 - Natural Language Processing in TensorFlow 的 950 个评论(共 1,006 个)
创建者 Ho Y C
•Sep 6, 2019
The materials are not up to date to the latest research
创建者 kishore r
•Apr 2, 2020
some portion of the course content is not interactive.
创建者 Miguel R
•Oct 25, 2020
Feels there where too many concepts not well covered
创建者 Apoorv G
•Jul 17, 2020
Short Videos are annoying. Overall content is good.
创建者 Swetha S
•May 10, 2020
No graded assignments. No conceptual explanation.
创建者 Biao W
•Apr 16, 2020
Need more explanations on the RNN models itself.
创建者 Soumya B
•Nov 21, 2021
Please add Coursera assignment based on coding
创建者 Ramil A
•Apr 15, 2020
I wish there were more graded projects.
创建者 Igors K
•Nov 21, 2019
No practical exercises that one must do
创建者 Shubham A G
•Aug 30, 2019
A bit too easy and no real assignments
创建者 Ethan
•Apr 12, 2020
I wish there were graded assignments.
创建者 Ashwin H
•Apr 25, 2020
Coding assignments are much needed!
创建者 Ahmad O
•Sep 14, 2020
Assignments need some improvment.
创建者 Sumit V
•May 28, 2020
not enough programming exercises
创建者 giuseppe d m
•Jul 19, 2020
Concepts explained too quiclky
创建者 Salem S
•Apr 16, 2020
Code should be explained more
创建者 Albert J
•Jun 20, 2020
Not challenging enough....
创建者 Ankit G
•May 17, 2020
No programming assignments
创建者 Leon V (
•Jun 13, 2020
Force me to write code.
创建者 Artem K
•Oct 6, 2020
Need more practice
创建者 chris a
•Jan 27, 2024
Felt a bit rushed
创建者 Vikas C
•Dec 24, 2019
Good course
创建者 Y Z
•Jan 7, 2022
too easy
创建者 Hamzeh A
•Aug 20, 2019
good
创建者 Vasileios D S
•Aug 30, 2021
Normally the courses of this specialization are well-structured and, although not very demanding, quite complete and self-contained, but in this case the content covered didn't go deep enough and there was very little insight provided into the principle of RNNs and specifically LTSMs, other than pointing to other lectures.
Also, while sentiment recognition seemed to be an interesting and promising field, the results of all attempts at text generation were so laughable that it made me wonder as to why was half the course devoted to it instead of some other application area of NLP