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

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Acerca del Curso

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....

Principales reseñas

GS

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!

AS

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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851 - 875 de 933 revisiones para Natural Language Processing in TensorFlow

por Shankar G

1 de abr. de 2020

Could've lot of small exercises to understand much better

por Ondrej S

16 de abr. de 2020

it would be better to include graded assignments as well

por Rohit R C

9 de may. de 2020

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

por NIKITHA M T

30 de abr. de 2020

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

por Ho Y C

6 de sep. de 2019

The materials are not up to date to the latest research

por kishore r

2 de abr. de 2020

some portion of the course content is not interactive.

por Miguel R

25 de oct. de 2020

Feels there where too many concepts not well covered

por Apoorv G

17 de jul. de 2020

Short Videos are annoying. Overall content is good.

por Swetha S

10 de may. de 2020

No graded assignments. No conceptual explanation.

por Biao W

16 de abr. de 2020

Need more explanations on the RNN models itself.

por Soumya B

21 de nov. de 2021

Please add Coursera assignment based on coding

por Ramil A

15 de abr. de 2020

I wish there were more graded projects.

por Igors K

21 de nov. de 2019

No practical exercises that one must do

por Shubham A G

31 de ago. de 2019

A bit too easy and no real assignments

por Yuxuan C

12 de abr. de 2020

I wish there were graded assignments.

por Ashwin H

25 de abr. de 2020

Coding assignments are much needed!

por Ahmad O

14 de sep. de 2020

Assignments need some improvment.

por SUMIT V

28 de may. de 2020

not enough programming exercises

por giuseppe d

19 de jul. de 2020

Concepts explained too quiclky

por Salem S

16 de abr. de 2020

Code should be explained more

por albert

20 de jun. de 2020

Not challenging enough....

por Ankit G

17 de may. de 2020

No programming assignments

por Leon V

13 de jun. de 2020

Force me to write code.

por Artem K

6 de oct. de 2020

Need more practice

por Vikas C

24 de dic. de 2019

Good course