0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

Buy Now

Introduction to Transformers for NLP - With the Hugging Face Library and Models to Solve Problems (Paperback, 1st ed.) Loot Price: R681
Discovery Miles 6 810
You Save: R157 (19%)
Introduction to Transformers for NLP - With the Hugging Face Library and Models to Solve Problems (Paperback, 1st ed.):...

Introduction to Transformers for NLP - With the Hugging Face Library and Models to Solve Problems (Paperback, 1st ed.)

Shashank Mohan Jain

 (sign in to rate)
List price R838 Loot Price R681 Discovery Miles 6 810 | Repayment Terms: R64 pm x 12* You Save R157 (19%)

Bookmark and Share

Expected to ship within 10 - 15 working days

Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library. What You Will Learn Understand language models and their importance in NLP and NLU (Natural Language Understanding) Master Transformer architecture through practical examples Use the Hugging Face library in Transformer-based language models Create a simple code generator in Python based on Transformer architecture Who This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)

General

Imprint: Apress
Country of origin: United States
Release date: October 2022
First published: 2022
Authors: Shashank Mohan Jain
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 165
Edition: 1st ed.
ISBN-13: 978-1-4842-8843-6
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN: 1-4842-8843-2
Barcode: 9781484288436

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners