Transfer Learning for Natural Language Processing
Author | : Paul Azunre |
Publisher | : Simon and Schuster |
Total Pages | : 262 |
Release | : 2021-08-31 |
ISBN-10 | : 9781617297267 |
ISBN-13 | : 1617297267 |
Rating | : 4/5 (267 Downloads) |
Book Synopsis Transfer Learning for Natural Language Processing by : Paul Azunre
Download or read book Transfer Learning for Natural Language Processing written by Paul Azunre and published by Simon and Schuster. This book was released on 2021-08-31 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.