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Opiniones y comentarios de aprendices correspondientes a Natural Language Processing in TensorFlow por parte de

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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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726 - 750 de 955 revisiones para Natural Language Processing in TensorFlow

por Yunya G

13 de nov. de 2020

It will more preferable if there are programming assignments

por Neel A

31 de ago. de 2020

Needed some graded exercises, but the rest was all on point!

por Leeto P

14 de may. de 2021

Good course, but one needs more time to understand the code

por Praveen P

21 de oct. de 2020


por Wassim B

4 de may. de 2021

Graded exercices would have helped more, but great course!

por Aahil K

15 de may. de 2020

could be more detailed with how tehnsorflow implemented it

por Fernando F

2 de ago. de 2022

Should take into account HuggingFace Transformers library

por Nihal S

26 de nov. de 2020

Missing assignments. wish there were some to help me code

por revant t

21 de may. de 2020

Including programming assignments would have been better.

por Eddy P

9 de nov. de 2019

helpful but only focus on a very introductory level..

por Tobias B

25 de jun. de 2020

Great course, but no automatically graded exercises.

por uddalak d

12 de may. de 2020

Great course with a lot of hands on experimentation!

por Tanmay S

17 de jun. de 2020

Can improve on providing more hands on assignments


29 de mar. de 2020

A very practical and useful learning experience..

por Zanuar E R

14 de feb. de 2021

The sound quality is bad, but the lesson is good

por Lloyd C

1 de may. de 2020

soudns too simple and wants someting more deeper


10 de nov. de 2022

Can have more explanations on one-hot-encoding.

por Thomas S

29 de sep. de 2022

Good, but didn't feel as good as the first two

por Ameya D

30 de jun. de 2020

You will get practical experience of doing NLP.

por Morteza K H

13 de dic. de 2021

Audio quality is lowered as well as its volume

por Mukeshkumar P

22 de ago. de 2020

Good course to get started with AI NLP journey

por Kailyn W

17 de sep. de 2019

I get errors when trying to run the notebooks

por Alfian A H

15 de abr. de 2021

Good but the volume in the video is too low.

por Jan R

10 de abr. de 2020

I like the practical nature of this course.

por Phuong N D

12 de sep. de 2019

Good overview of tensorflow with keras API.