Chevron Left
Volver a Natural Language Processing in TensorFlow

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

4.6
estrellas
5,889 calificaciones
917 reseña

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!!

Filtrar por:

826 - 850 de 920 revisiones para Natural Language Processing in TensorFlow

por WU F

16 de may. de 2020

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

por JiahuiWEI

9 de sep. de 2019

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

por Yves B

16 de nov. de 2019

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

por ROHAN G

14 de dic. de 2021

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

por Angel S

10 de nov. de 2020

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

por Venkatesh S

16 de ene. de 2020

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

por Max W

3 de ene. de 2020

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

por Nicolai W

14 de sep. de 2019

Comprehensive explanation videos but not enough practical coding exercises.

por Abhishek B U

25 de dic. de 2021

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

por Jakub P

24 de dic. de 2020

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

por Matteo T

23 de abr. de 2020

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

por Hyunuk L

25 de jun. de 2020

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

por Aleksander W

24 de mar. de 2021

no graded coding exercises, scope is extremely simplistic

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