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Voltar para Transfer Learning for NLP with TensorFlow Hub

Comentários e feedback de alunos de Transfer Learning for NLP with TensorFlow Hub da instituição Coursera Project Network

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Sobre o curso

This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub. By the time you complete this project, you will be able to use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, build and evaluate multiple models for text classification with TensorFlow, and visualize model performance metrics with Tensorboard. Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with deep learning for Natural Language Processing (NLP), and have trained models with TensorFlow or and its Keras API. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Melhores avaliações

AQ

20 de nov de 2021

This is an amazing tutorial for me as I am learning technologies of AI in various techniques. Found this very helpful and clear instruction given by the tutor.

RM

8 de ago de 2021

Highly recommended for those who want to gain upper hand in NLP tasks through modern transfer learning techniques

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por Jorge G

25 de fev de 2021

por Zakaria L

5 de jul de 2022

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25 de jan de 2021

por Akmal Q

21 de nov de 2021

por Rohan M

9 de ago de 2021

por Thokozile M

11 de jun de 2021

por Sihuan J

25 de jul de 2021

por devendra s

28 de jun de 2021

por Debolina

7 de abr de 2021

por Willium B

22 de fev de 2022

por Pratik S

28 de jul de 2021

por Kenneth N

18 de jul de 2022

por Amanda J A

16 de abr de 2021

por daniel s

17 de mar de 2021

por Pris A

27 de nov de 2021

por Muhammad N

22 de jul de 2022

por Jurijs

19 de out de 2022

por BOULASSEL A

6 de out de 2020

por Arisa U

6 de abr de 2021

por Janmejay B

1 de out de 2020

por Tuan A T

18 de fev de 2021