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学生对 提供的 Natural Language Processing in TensorFlow 的评价和反馈

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903 条评论


If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....


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!

Jul 21, 2020

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

Apr 2, 2020

Audio could be louder. Thanks.

创建者 Ahmad E A

May 16, 2020

Some video have a small audio

创建者 Soni N V

Apr 22, 2020

thank you coursera :)))))))

创建者 Bằng P C

Jul 2, 2020

Very good for a beginner

创建者 Satyam s

May 13, 2020

Simple and understanding

创建者 Otavio B

Jan 23, 2020

Missed graded assigments

创建者 JackT T

Jan 4, 2021

Nice fundamental course

创建者 Ashwini. A

May 20, 2020

i like this courses

创建者 Luigi S

Dec 26, 2019

Nice and clear


Jun 27, 2020

good content

创建者 Abdur R

Apr 12, 2021

Best Course

创建者 Rohit K S

Sep 19, 2020


创建者 Ashwani Y

Apr 22, 2020

its good

创建者 Muhammad A

Aug 23, 2021

5 stars

创建者 Zayn K

Jul 8, 2021


创建者 Wellington B R

Jul 24, 2020



Jun 26, 2020


创建者 Milad M

May 15, 2020


创建者 M n n

Apr 16, 2020


创建者 Amit K

May 12, 2020


创建者 Pablo A

Sep 15, 2020

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

Mar 24, 2021

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

Sep 3, 2020

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

Dec 12, 2021

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

Feb 7, 2020

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.