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Natural Language Processing in TensorFlow(으)로 돌아가기

deeplearning.ai의 Natural Language Processing in TensorFlow 학습자 리뷰 및 피드백

3,972개의 평가
609개의 리뷰

강좌 소개

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....

최상위 리뷰


Aug 27, 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 22, 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!!

필터링 기준:

Natural Language Processing in TensorFlow의 611개 리뷰 중 26~50

교육 기관: Sinha, S

Aug 06, 2019

This course covers the overview of NLP without going into much mathematical detail. In short time span, many things can be learnt from this course, helpful for the beginners.

교육 기관: Mostafa G

Aug 05, 2019

Excellent course to take after completing Deep Learning Specialization

교육 기관: Yuanzhe L

Aug 04, 2019

Great course as always

교육 기관: Juan C B R

Aug 05, 2019


교육 기관: Serhii K

Sep 12, 2019

The course is really nice, especially if you just start working with TensorFlow.

But I think it could be better to have 1 week for all course, with 8-10 min videos, instead of splitting it into 4 Weeks with 1-2 min videos

교육 기관: Alice M

Dec 08, 2019

More graded coding excercises would be useful, the way it was done in the first specialization course. The optional coding exercises have a lot of code that wasn't covered in clarity within the videos.

교육 기관: Juan E C P

Apr 03, 2020

I think that it should have included some graded excersises, just like the ones in the second course. I really enjoyed this one, but I felt it could be a little more practical.

교육 기관: Luiz C

Aug 05, 2019

As previous Courses of this Specialization, this Course is very suited to teach you the main concepts quickly. But it lacks the hands-on practice required to go into the implementation details. At the end, you won't have the minimum experience to usefully apply the learned concepts

교육 기관: Udit G

Nov 10, 2019

The evaluation process is very simple and based on memory rather than on concepts. Overall, courses in this specialization do not motivate the student to learn. The Andrew Ng's courses are much more detailed in theory and evaluation. These courses stand nowhere them.

교육 기관: Stephen H

Oct 31, 2019

Echoing what others have said. The course information is largely links to official documentation and videos from other courses. The notebooks are cookie cutter follow alongs. There really is little content here.

교육 기관: Ian D

Sep 24, 2019

This is a *very* surface level course. You might learn the mechanics of using tensorflow to perform some operations, but the moment something goes wrong you'll have no idea why.

교육 기관: Naeem M

May 12, 2020

This whole specialization was not even close to the quality I expected after taking Andrew's Deep Learning specialization. This one was especially bad because it didn't even have graded programming exercises, unlike the two first courses. By the end, I was just fast-forwarding the videos and solving the quizzes with almost no mental effort. Basically, if you have taken Andrew's courses, you don't need this one and you probably will be better off just doing free tutorials for Tensorflow and Keras.

교육 기관: Orko G

May 23, 2020

Some of the things in the exercises are incorrect and the exercises aren't graded. Quiz for week 4 was essentially the same as the Quiz for week 3. This course didn't have enough material to be considered a full course. Most of the topics were rushed through without giving enough background, with external links for details and even practice tutorials.

교육 기관: Mahmoud K

Jun 05, 2020

Quality of this course is not good compared to previous two courses. It is super percised and many things are not well-explained or explained very briefly! The second course was better structured and valueable. I was hoping that this one is as well, because I am very interested in NLP than Image Processing.

교육 기관: Jan G

May 09, 2020

Programming exercises are badly described, very often it is not obvious what then expect from you. Also some of them are broken, are correct answer is wrong and you are expected to reproduce the wrong answer (week 1).

교육 기관: Ivan A

Nov 16, 2019

Giving feed back so it may trigger some evaluation on this course. The course is very weak. Lacks material and engagement feeling. I would say increase the aterial 800-1000 percent , add homeworks, etc..

교육 기관: sang h l

May 11, 2020

There is not much content in this course -- everything in this course can be covered in a week. It's not worth spending your $49 on it. Moreover, there is no graded assignment.

교육 기관: Kalana A

May 26, 2020

This seems like a beginner's class than an intermediate class. Can't you make some interesting coding assignments rather than the colab ones to run. Really boring this course

교육 기관: sugam g

May 13, 2020

Really a very beginner course. I am not sure they mentioned it or not. But they should ideally put it in the course description very clearly

교육 기관: Batshur G

Jun 23, 2020

It was not so great as I thought. The exercises and quizes were not challenging enough. It does not make you an NLP expert.

교육 기관: Vasu B

Apr 15, 2020

The volume was too low for all the videos. I could hardly understand what sir was speaking. Very bad experience.

교육 기관: Chandra S G

Apr 27, 2020

Very few details of LSTM are covered, do not think it is enough.

교육 기관: Irving P

Jun 05, 2020

weak examples. no programming exercise.

교육 기관: Han L

Jun 05, 2020

Poorly designed and graded exercises.

교육 기관: Fengjun W

Aug 17, 2019

Nothing to say besides disappointing!