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
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!
Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!
726 - Natural Language Processing in TensorFlow 的 750 个评论（共 906 个）
创建者 Madhukar M R
•Audio could be louder. Thanks.
创建者 Ahmad E A
•Some video have a small audio
创建者 Soni N V
•thank you coursera :)))))))
创建者 Bằng P C
•Very good for a beginner
创建者 Satyam s
•Simple and understanding
创建者 Otavio B
•Missed graded assigments
创建者 JackT T
•Nice fundamental course
创建者 Ashwini. A
•i like this courses
创建者 Luigi S
•Nice and clear
创建者 LANKE N B J
•good content
创建者 Abdur R
•Best Course
创建者 Rohit K S
•Amazing!!
创建者 Ashwani Y
•its good
创建者 Muhammad A
•5 stars
创建者 Zayn K
•good
创建者 Wellington B R
•Good
创建者 RAJAT S
•GOOD
创建者 Milad M
•good
创建者 M n n
•Nice
创建者 Amit K
•ok
创建者 Pablo A
•After taking courses 1&2 of this Specialization I had high expectations for this course on NLP. I am a linguist learning ML so I was really hoping to learn a lot. However, this course has no graded assignments, which was a disappointment as I really enjoy the challenge that those present. Making the assignments not required really takes away from the experience imo. Additionally, the content seems kind of basic in this course. I feel like the first 3 weeks are spent doing mostly the same thing. It isn't until week 4 when we finally get to something somewhat interesting. I really wish this course was better structured. I will be checking out other NLP courses, but this one was a bit of a disappointment.
创建者 Jesus E R
•Very, very basic course. It over-explains the simple things but glosses over important concepts and choices (choice of optimizers, choices of some layers, among others).
Additionally, the course is overly repetitive. Videos explain the same thing over and over. I understand this is more about Python and Tensorflow than is about ML but even then, we spend longer time explaining the non-TF parts of the code than on the TF parts and the reasoning behind them.
This course also lacks practice. Quizzes focus on the exact syntax for a function but not that much on the whys. It lacks programming exercises (first week has a very simple workbook that doesn't teach much).
创建者 Aditya L
•This course has a lot of exciting material. However, it can be challenging and hard to work on if you are not comfortable with RNNs and LSTMs already. It cross-references to many videos of Andrew Ng, which would be ok, but when you see those videos you realize you need to learn more things and so on. Additionally, the assignment is ungraded which takes away some of the challenges. Definitely a good introduction but to get deeper meaning on this you have to do your own research and studies on the material quite a bit.
创建者 Albert Z
•Not that bad, but should cover more details. For example, the num_words parameter in Tokenizer is actually len(word_index)+1, but the tutor does not mention that in the lecture. It troubles me a lot in the assignment until I finally figure that out by myself. I still recommend this course If you want to take the tensorflow certificate exam. But you need to learn more by yourself. You'd better read all the API documents for the commands mentioned in this course to make sure that you understand them correctly.
创建者 Corrie
•Some lessons in this course were so repetitive that it seemed like a waste of time. Week 2, in particular, felt monotonous and really put a damper on my interest in the information. Despite there being some useful code to learn, Laurence talks though the code in video clips, and then does a screencast of himself talking through the same code in a workbook. I have really enjoyed the 2 courses prior to the NLP course in the TensorFlow in Practice Specialization, but this one seems less developed.
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