Chevron Left
Zurück zu Natural Language Processing in TensorFlow

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

5,914 Bewertungen
920 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!!

Filtern nach:

826 - 850 von 923 Bewertungen für Natural Language Processing in TensorFlow

von Sebastian S

21. Feb. 2021

some broken links and about 20-30% of the colab linked work books don't run out of the box


17. Okt. 2021

i was hoping to go more into details about building Transformer for RNN using TensorFlow

von WU F

16. Mai 2020

I don't think it teaches well. The materials are not organized suitably for beginners.

von JiahuiWEI

9. Sep. 2019

It would be better to have acess to the notebook of lessons and some explainations

von Yves B

16. Nov. 2019

I wished to learn more details about the different types of RNN like GRU or LSTM.


14. Dez. 2021

There sh'd be a good description in one course instead of visiting other courses

von Angel S

10. Nov. 2020

I think the course is a very basic in the topic. Many details are not explained.

von Venkatesh S

16. Jan. 2020

The code should be explained a bit better on the advanced RNN, LSTM examples.

von Max W

3. Jan. 2020

moved very quickly...needed a bit more theory and slower code walk throughs

von Nicolai W

14. Sep. 2019

Comprehensive explanation videos but not enough practical coding exercises.

von Abhishek B U

25. Dez. 2021

Course was realli nice.I liked how they focussed on self learning approch.

von Jakub P

24. Dez. 2020

Surprisingly little material. The ungraded labs are okay but very simple

von Matteo T

23. Apr. 2020

Compared with the two previous courses I found this one very boring

von Hyunuk L

25. Juni 2020

good overall! but the course materials are maybe too basic...

von Aleksander W

24. März 2021

no graded coding exercises, scope is extremely simplistic

von Shankar G

1. Apr. 2020

Could've lot of small exercises to understand much better

von Ondrej S

16. Apr. 2020

it would be better to include graded assignments as well

von Rohit R C

9. Mai 2020

Could be more detailed, lots of doubts are still there.


30. Apr. 2020

The sound is very low and I have to strain to hear them

von Ho Y C

6. Sep. 2019

The materials are not up to date to the latest research

von kishore r

2. Apr. 2020

some portion of the course content is not interactive.

von Miguel R

25. Okt. 2020

Feels there where too many concepts not well covered

von Apoorv G

17. Juli 2020

Short Videos are annoying. Overall content is good.

von Swetha S

10. Mai 2020

No graded assignments. No conceptual explanation.