Livraison gratuite à partir de 69.99 euros.

Vérifier l'état de la commande

Accédez à une communauté d'amateurs de livres à travers le monde et bénéficiez d’une panoplie d'avantages. Créer un compte gratuitement

Livraison gratuite avec Zásilkovna à partir de 69.99 €

Coursier DPD 5.99 € Point Bpost 7.99 € Bpost 7.49 € Point DPD 3.49 € Service de messagerie GLS 4.99 €

Contact

Comment faire ses achats

Assistance

Mon compte

▸ Vide :-(

Livraison gratuite à partir de 69.99 euros.

Transfer Learning for Natural Processing

Name: Transfer Learning for Natural Processing
Brand: Manning Publications
SKU: 35456146
Price: 54.65 EUR
Availability: InStock
Author: Paul Azunre
ISBN: 9781617297267

Paul Azunre

Langue

Anglais

Livre Livre de poche

Code Libristo: 35456146

Éditeurs Manning Publications, août 2021

Building and training deep learning models from scratch is costly, time-consuming, and requires ma... Description détaillée

Code Libristo: 35456146

133 b

54.65 €

50% de chance Nous cherchons dans le monde Quand vais-je recevoir mon livre ?

Jusqu'à 30 jours pour les retours

Les clients ont également acheté

Schritte International 1 KB+AB mit CD Daniela Niebisch

Livre de poche

19.96 €

Módne kočky - čas na líčenie

Livre de poche

4.12 €

Mity greckie 6 Chimera Nathaniel Hawthorne

Livre de poche

9.07 €

Neue Beitrage Zur Entdeckung Und Erforschung Afrikas Gerhard Rohlfs

Livre de poche

27.62 €

Jod leczy Lynne Farrow

Livre de poche

10.98 €

Lextra - Deutsch als Fremdsprache - Grund- und Aufbauwortschatz nach Themen - A1-B2 Erwin Tschirner

Livre de poche

21.47 €

Ziemia obiecana Barack Obama

Livre relié

16.73 €

WOHLTEMP KLAVIER I Johann Sebastian Bach

Partitions

22.28 €

Deutsche Marchen Seit Grimm V1 (1922) Paul Zaunert

Livre de poche

38.21 €

Die Sprachenhilfe für den Fahrer Sigurd Ehringer

Livre de poche

17.23 €

Building and training deep learning models from scratch is costly, time-consuming, and requires massive amounts of data. To address this concern, cutting-edge transfer learning techniques enable you to start with pretrained models you can tweak to meet your exact needs. In Transfer Learning for Natural Language Processing, DARPA researcher Paul Azunre takes you hands-on with customizing these open source resources for your own NLP architectures. You’ll learn how to use transfer learning to deliver state-of-the-art results even when working with limited label data, all while saving on training time and computational costs.

about the technology

Transfer learning enables machine learning models to be initialized with existing prior knowledge. Initially pioneered in computer vision, transfer learning techniques have been revolutionising Natural Language Processing with big reductions in the training time and computation power needed for a model to start delivering results. Emerging pretrained language models such as ELMo and BERT have opened up new possibilities for NLP developers working in machine translation, semantic analysis, business analytics, and natural language generation.

about the book

Transfer Learning for Natural Language Processing is a practical primer to transfer learning techniques capable of delivering huge improvements to your NLP models. Written by DARPA researcher Paul Azunre, this practical book gets you up to speed with the relevant ML concepts before diving into the cutting-edge advances that are defining the future of NLP. You’ll learn how to adapt existing state-of-the art models into real-world applications, including building a spam email classifier, a movie review sentiment analyzer, an automated fact checker, a question-answering system and a translation system for low-resource languages.

what''s inside

Fine tuning pretrained models with new domain data
Picking the right model to reduce resource usage
Transfer learning for neural network architectures
Foundations for exploring NLP academic literature

about the reader

For machine learning engineers and data scientists with some experience in NLP.

about the author

Paul Azunre holds a PhD in Computer Science from MIT and has served as a Principal Investigator on several DARPA research programs. He founded Algorine Inc., a Research Lab dedicated to advancing AI/ML and identifying scenarios where they can have a significant social impact. Paul also co-founded Ghana NLP, an open source initiative focused using NLP and Transfer Learning with Ghanaian and other low-resource languages. He frequently contributes to major peer-reviewed international research journals and serves as a program committee member at top conferences in the field.