Darmowa dostawa dla zamówień powyżej 299,00 zł.

Sprawdzić stan zamówienia

Zostań członkiem wspólnoty miłośników książek z całego świata i zyskaj mnóstwo korzyści. Załóż konto bezpłatnie

Darmowa dostawa z usługą Inpost oraz Orlen od 299.00 zł

DPD Kurier 12.99 zł Poczta Polska 18.99 zł Paczkomat 13.99 zł InPost 12.99 zł Punkt DPD 13.99 zł

Kontakt

Jak kupować

Pomoc

Moje konto

▸ Pusty :-(

Darmowa dostawa dla zamówień powyżej 299,00 zł.

Transfer Learning for Natural Processing

Name: Transfer Learning for Natural Processing
Brand: Manning Publications
SKU: 35456146
Price: 229.71 PLN
Availability: InStock
Author: Paul Azunre
ISBN: 9781617297267

Paul Azunre

Język

Angielski

Książka Miękka

Kod Libristo: 35456146

Wydawnictwo Manning Publications, sierpień 2021

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

Kod Libristo: 35456146

131 b

229.71 zł

50 % szansa Przeszukamy cały świat Kiedy dostanę książkę?

30 dni na zwrot towaru

Klienci kupili także

Jod leczy Lynne Farrow

Miękka

39.38 zł

Schritte International 1 KB+AB mit CD Daniela Niebisch

Miękka

84.68 zł

Einheit und Vielfalt der Rechtstheorie. Robert Weimar

Twarda

493.31 zł

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

Miękka

91.10 zł

Die Sprachenhilfe für den Fahrer Sigurd Ehringer

Miękka

74.36 zł

Módne kočky - čas na líčenie

Miękka

16.23 zł

Mity greckie 6 Chimera Nathaniel Hawthorne

Miękka

35.47 zł

WOHLTEMP KLAVIER I Johann Sebastian Bach

Nuty

94.81 zł

Poupon la peste - Tome 02 Christian Binet

Twarda

70.45 zł

Deutsche Marchen Seit Grimm V1 (1922) Paul Zaunert

Miękka

157.75 zł

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.