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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....

Principales reseñas


26 de ago. de 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!


21 de jul. de 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!!

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901 - 925 de 932 revisiones para Natural Language Processing in TensorFlow

por Milan K

15 de feb. de 2021

The given material is pretty nice, but I don't feel like I learned a lot. Important concepts weren't explained in depth.

por Amr K

23 de abr. de 2020

didn't really feel like a strongly grasped the concept and needed more exercises also the lack of lessons notebooks.

por Maged A

15 de nov. de 2020

Too short. Fine as introduction but not in depth course. No assignment except very shallow multiple choices tests.

por Sivan M

17 de abr. de 2021

some links are broken.

The last quiz (week4) not match to the lessons

couldn't run the lab excercizes

por Benoît Q

27 de abr. de 2020

Not enough content; far too easy; the whole course should be one week of a good tensorflow course.

por Nirzari D

6 de jul. de 2020

The audio quality is very bad! It should be improved so the content is audible to the user

por Manuel W

20 de may. de 2022

Assignments often demanded Python knowledge and not the skills learned in the course!

por Jay K

3 de mar. de 2021

There is no graded exercise and the class is outdated that some links do not work.

por Anton Z

14 de may. de 2020

I wish assignments were provided the same way as in the previous two courses

por Masoud V

22 de ago. de 2019

Useful but shorter and easier than expected and not deep enough for me

por Jose R

5 de sep. de 2020

It is too mechanical and reinforcement of concepts if very limited

por MD M R S

29 de may. de 2020

Good course. but we expected hands-on assignments to learn better

por Alexander S

23 de ago. de 2019

Dont see the value behind predicting words.

por Shubham G

6 de feb. de 2022

Coding assignments need to be mandatory

por Robbin R

12 de jul. de 2021

I miss graded programming excersises!

por AasaiAlangaram

11 de dic. de 2019

Not Much Information provided.

por Chirui G

11 de mar. de 2021

No graded assignments anymore

por Daniel C

27 de oct. de 2020

Missing code evalution

por Jack P

17 de oct. de 2020

Unfortunately, really disappointed with this course.

Having done the previous 2 courses int he specialisation I have come to realise that the courses are much more of a tutorial and could be seen as quick practice content before going for the TF Developer certificate or something. That in itself is fine, I feel there are other places to learn the maths/intuition behind DL (e.g. the Deep Learning Specialisation) but I feel especially in this 3rd course the content really doesn't justify paying for it.

For starters the explanations are very fast, hand wavy and don't go into any real depth other than just quickly explaining each line of the short notebooks (this can be useful). There is no discussion on how to improve the models or actually use this other than just pressing play in the notebook, the length of videos 17min per week is really not worth it, especially when better content can be found for free in Kaggle notebooks or on YouTube. There are also no graded exercises and after the first week they have given up on even providing suggested answers for the ungraded ones. The exercises don't test your TF understanding, just your basic Python loading of data and if you can copy from the example workbooks, they also have inconsistencies new untaught content and prone to errors that you haven't even been told could be an issue which means you just waste time being frustrated at not understanding what code you're even supposed to add rather than trying to understand the content.

I really like Coursera in general so this experience won't change that, but given that the instructor has free content on the TF website and youtube channel it seems like a waste to pay for this course IMO.

Hoping the 4th course will. be better

por Adam F

1 de nov. de 2021

This specialization is false advertising. It does NOT prepare you for the Tensorflow certification exam. It’s especially disappointing after taking the fantastic specialization by Andrew Ng, and makes this specialization feel like a cheap cash grab by Coursera and This series of courses fails to prepare you for three reasons:

1 – The certification exam is done on whatever is the current version of Tensorflow (v2.6 as of writing). You can’t expect a specialization like this to update every minor release, but much of the coding is still on the v1.X version!

2 – The certification exam requires you to work in the PyCharm IDE. The IDE doesn’t even get a mention in this specialization and it is all done through Google Colab.

3 – The material is covered at a very superficial level. I was hoping to walk out of it feeling confident in using Tensorflow on novel problems, but I’ve barely learned anything about Tensorflow that I didn’t already get from Andrew Ng’s specialization. There’re a few minutes of lectures (some weeks less than 10 minutes). The programming assignments are either pathetically easy, or lack any guidance on what to do (seriously sometimes there’s no instructions at all, you have to guess what to do by the variable names), or both.

Save your time and money and go elsewhere to learn Tensorflow.

por Oliverio J S J

20 de oct. de 2021

Be careful! This is not a four-week course, it is just a collection of short videos that you can watch during one morning. There are no practical exercises and the quizzes even repeat questions from one block to the next. The descriptive text is misleading, expressions like "you will build a" are used but you will not implement anything. Without a doubt, it is the worst course I have ever taken on Coursera.

por Huet P

13 de oct. de 2020

Videos are too short. Unlike Andrew did, there was not enough talk on intuition and how to tune the hyperparameters. There are a lot of redundant questions in the quizzes, and not enough explanations on the notebooks. I would prefer graded exams, not ungraded ones with answers. I would prefer the coursera lab instead of the google collab platform as we cannot access again previous works.

por Alexander B

15 de ago. de 2020

Very little content. Extremely short videos, with some notebooks thrown in and show only the most basic applications... I would have expected in-depth explanation on Network-Architecutres, instead of having to memorize the name of some methods in keras (fit_on_text or fit_on_texts). Come on! This course seemed rushed, compared to the high standard of other courses.

por Peter C

25 de mar. de 2021

The course is very basic and shallow. Neither gives us well working practical (or real life) examples nor details or understanding of the theory behind. There are no mandatory/graded programming exercises to practice, and the quizes are full with easy but meaningless questions. It was quite disappointing .

por Gianni C

26 de ene. de 2021

The teacher explains really great but the course is horrible, If I wanted to implemented myself I would not be able to it. Optional exercises? No explanation for most of the things. Not enough information to learn how to efficiently tweak the parameters