Transfer Learning for Natural Language Processing

Transfer Learning for Natural Language Processing
Author: Paul Azunre
Publisher: Simon and Schuster
Total Pages: 262
Release: 2021-08-31
Genre: Computers
ISBN: 1617297267

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Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can practice your new skills immediately. As you go, you'll apply state-of-the-art transfer learning methods to create a spam email classifier, a fact checker, and more real-world applications.


Transfer Learning for Natural Language Processing
Language: en
Pages: 262
Authors: Paul Azunre
Categories: Computers
Type: BOOK - Published: 2021-08-31 - Publisher: Simon and Schuster

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Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly
Deep Learning for Natural Language Processing
Language: en
Pages: 372
Authors: Karthiek Reddy Bokka
Categories: Computers
Type: BOOK - Published: 2019-06-11 - Publisher: Packt Publishing Ltd

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Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key FeaturesGain insights into the basic
Deep Learning for Natural Language Processing
Language: en
Pages: 294
Authors: Stephan Raaijmakers
Categories: Computers
Type: BOOK - Published: 2022-11-29 - Publisher: Simon and Schuster

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Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent ad
Introduction to Transfer Learning
Language: en
Pages: 333
Authors: Jindong Wang
Categories: Computers
Type: BOOK - Published: 2023-03-30 - Publisher: Springer Nature

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Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by
Deep Learning for Natural Language Processing
Language: en
Pages: 413
Authors: Jason Brownlee
Categories: Computers
Type: BOOK - Published: 2017-11-21 - Publisher: Machine Learning Mastery

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Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one la