Can I read Transfer Learning for Natural Language Processing on EtoBox?

Transfer Learning for Natural Language Processing by Paul Azunre is a book available to read on EtoBox.

What is Transfer Learning for Natural Language Processing about?

Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems.Summary In Transfer Learning for Natural Language Processing you will learn: Fine tuning pretrained models with new domain data Picking the right model to reduce resource usage Transfer learning for neural network architectures Generating text with generative pretrained transformers Cross-lingual transfer learning with BERT Foundations for exploring NLP academic literature Training deep learning NLP models from scratch is costly, time-consuming, and requires massive amounts of data. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre reveals cutting-edge transfer learning techniques that apply customizable pretrained models to your own NLP architectures. You'll learn how to use transfer learning to deliver state-of-the-art results for language comprehension, even when working with limited label data. Best of all, you'll save on training time and computational costs. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build custom NLP models in record time, eve

Author

Paul Azunre

Publisher

Manning Publications Co. LLC

Published

2021

Language

EN

ISBN

9781617297267

Subjects

Science, Computer Science, Stem