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Bewertung und Feedback des Lernenden für Natural Language Processing in TensorFlow von

6,138 Bewertungen

Über den Kurs

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....



26. Aug. 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. Juli 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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651 - 675 von 955 Bewertungen für Natural Language Processing in TensorFlow

von Utkarsh S

12. Mai 2020

First 2 courses of this specialization were really good. This course was little less than what I expected. Maybe you can keep graded assignments like before.

von Jui W

10. Jan. 2020

I've learnt a lot of interesting things during this course.

I subtracted 1 star due to the missing links and notebooks. Please find some time to fix them.

von Benjamin D

12. Aug. 2021

Good. Basic concepts reviewed, some easy-to-understand applications. A little too fast on LSTM and RNNs, the architecture would deserve some explanation.

von William G

16. Aug. 2019

An adequate course that helped me understand more about NLP in tensorflow, in addition to the content provided in the deep learning specialization course

von Ivan C

8. Okt. 2020

I'd like a bit more in depth (theoretical) discussion on embeddings, NLP, etc. I'm hoping the next Course (RNNs) gives more detail on the RNN, LSTM etc.

von Noah M

17. Sep. 2020

Explains all I needed to know to start with NLP in tensorflow but stays with basic knowledge. Further information sources are provided during the course

von Ivan S

25. Apr. 2020

First two week was amazing! I did much work in Colab and started to memorize how to build a working model. On the third and fourth weeks, it was hard.

von Benjamin A

20. Sep. 2019

Good primer on NLP, picked up a good handle on using word piece tokenizers from TFDS datasets, wish they were applied to the Irish Poetry as well.

von Abhishek C S

2. Feb. 2022

It was fun working with texts and understanding how TensorFlow enables us to access these powerful APIs with makes things more easier and faster.

von Zalsabila

23. Apr. 2021

I feel that there are some parts that are less detailed in defining a concept. other than that everything is pretty good and easy to understand

von Abhishek M

17. Aug. 2020

Good introductions to NLP, mostly for beginners. Exercises are not very good as they don't challenge you to get certain level of good results.

von Ahmed M

6. Feb. 2021

the content was really good but i hope if there were assignments in the end of every week it really help me memorize the code for long time

von Arpit G

28. Jan. 2021

Very light on the brain. But all the models like an RNN, LSTM were covered. I wish there was more detail on the theoritical aspect as well.

von Ritika R

28. Juni 2020

The course was really nice and well explained. But I felt weekly programming assignments missing. That could add more value to the course.

von Dr. R Y

11. Juni 2021

I think you should include also in this course some graded progamming assigmnemts.

Those tasks realy help to increase the understanding.

von Sharan S M

4. Nov. 2019

Good course. Taught a lot about natural language processing. You should know how machine learning works in order to take this course.

von Gerard S

26. März 2020

It's complemented by Andrew Ng course on CNN. Not 5 stars because I felt that I had to jump to many concepts into the other course

von Nagamalla T

22. Apr. 2020

This course is very basic with regards to Natural Processing I felt like but good at giving a structure to use TensorFlow

von Sourabh G

19. Dez. 2019

Detailed Explanation of the NLP and some problems related to it.But did expected more focus on the over-fitting problem.

von liyuan

10. Mai 2020

Nice courses. Include embedding, RNN, LSTM, CNN ,GRU. It's better to have seq2seq, attention and more advanced model.

von 陈祎

11. Okt. 2020

It would be nice to have the final programming exam as same as the first 2 courses, which is evaluated by the system.

von Thomas B

10. Apr. 2020

This course teaches you how to prepare text, embedd, classify, and predict with lstm, gru or cnn. It is fun and easy.

von Vitalii S

25. Nov. 2019

I did NLP previously (poem generator), this task is like MNIST for NLP, maybe try to add something more interesting?

von Cheng S G

20. Aug. 2019

Good intro to NLP. It would be even better if instructor explains concepts like LSTM, Adam Optimiser, DropOut, etc.

von GATZ S F O

13. Mai 2021

It was an amazing course. However I would like to improve using other languages for example in spanish the corpus.