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Learner Reviews & Feedback for Natural Language Processing in TensorFlow by DeepLearning.AI

4.6
stars
6,390 ratings

About the Course

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 deeplearning.ai 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 deeplearning.ai 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....

Top reviews

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!

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851 - 875 of 991 Reviews for Natural Language Processing in TensorFlow

By Pandu D

Oct 15, 2021

Please give an explanation for each code in colab like in teh previous course. Moving between expalantion video tab and colab tab was troublesome. Moreover, there are some labs that contain an error which is predict_classes().

By Reem

Apr 1, 2020

Good overview but the assignments seem a bit disconnected from the classes at times (e.g. when asking us to use regularizers). Transformers are a lot more popular now and they were not touched on in the course.

By Chid

Oct 25, 2020

There was no continuity in the videos. Felt it could have been much better. And the level of course is too low. You should change the title to "Basics of Natural Language Processing in TensorFlow".

By Kaivalya B

May 24, 2020

The exercises were unclear and ungraded. It is essential to apply the skills learnt from videos. The programming assignment should be made graded and its comments should be descriptive as well.

By Pang C H J

Apr 13, 2021

I tried the first ungraded exercise to tokenize, then realize the google colab doesn't have NLTK library (to tokenize) already installed. I then decide not to follow up with exercises later.

By Haikal A

Apr 5, 2021

This is a very good course for beginners, but this course only focused on practical examples. I hope there are more theory behind the course and also the more challenging grade assessment.

By Lautaro R S

May 4, 2020

Not as good as the previous courses of the specialization. It is not as engaging, maybe it is the lack of rated exercises, but maybe also the contents are not taught as well as previously.

By Robert K

Aug 18, 2019

Too basic for me. I was hoping for some nice hands-on Tensorflow (not Keras) tutorials. Some deeper modeling and understanding. Good for children :), although they now know more than me.

By Andreas F

Jan 14, 2021

Overall a good course. Would like to see more commentary in the notebooks though. Furthermore, in my opinion, no Python2 code or deprecated functions of keras/tensorflow should be used

By Purnendu S

Sep 20, 2020

Good And Clear Lectures , But Programing Exercises Are Ungraded And The Week Quiz Questions Are Too Easy , I Felt Like Its Less Like Learning And More Like Rushing To Complete Course

By 曹杰

May 30, 2020

I got the basic idea behind the sequence models while lots of code shown in the course are used to deal with the text and prepare for the training, which leaves a huge knowledge gap.

By Ankit G

Jun 20, 2020

I guess there should have been a bit more explanation of the techniques used to provide a bit more understanding rather than just skimming from 50000 ft instaed of atleast 20000 ft.

By Naveen D B

Aug 17, 2021

Lack of programming assignments makes this course not highly rated in my opinion. You might as well watch the videos on YouTube or audit courses to get the same information.

By Phung T

Feb 19, 2021

The first two courses of the series were awesome, but this course is quite a let down imo. There is no graded lab, the content feels pretty rush and it feels quite lacking

By Soeren K

Jan 30, 2022

No final assignments, therefore very easy to workthough from a high-fly-perspective. If you want to learn a lot, not very helpful. If you want to get a overview its nice.

By David R C S

Jan 6, 2021

Good course to introduce to the NLP world, but it lacks explanations, so you have to complement this with other sources even for understanding what you are doing here.

By Davide C

Aug 3, 2020

Very superficial and requires no exercise to be solved so it is up to you to learn anything.

There are many topic that feel unfinished, many examples that are unsolved.

By Piyush J

May 10, 2020

There were some prerequisites of the course related to deeplearning, which should have been known, then the course would have been understood better.

By Roberto F

May 25, 2020

This course was really useful. You always work from a practical point of view, although there are not enough exercises to acquire a remarkable ease.

By Adam I

May 10, 2020

I was expecting a complete course to master tensorflow but Laurence barely taught tensorflow in this specialization. It was more of introduction.

By ‍이그나티우스이완[재학 / 산

Feb 15, 2022

This course is great for overview, but the examples were too few and lack mandatory assignment which can provide me an objective to learn more

By 4SF18IS103 - S A

Apr 17, 2020

There weren't any graded Exercise like other courses, which would've made us think a lot more.

I hope they add graded exercise to this course.

By Yevhen D

Feb 4, 2021

The course is too simple and doesn't cover topics deep enough. I suggest adding more practical assignments and explaining LSTM, Embedding etc

By Christopher C

Nov 30, 2020

Introduction to calling the different functions is fine but there could be more focus on choosing parameters. The course feels too shallow.

By Ana R

Jul 1, 2020

It's shallow, does not explain some important concepts. Seems like it was explained on a rush, or didn't bother going more into detaisl.