Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques - Image 1

£42.27

Packt Publishing Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques

Name: Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques
Brand: Packt Publishing
Price: 42.27 GBP
Availability: InStock

AI & Machine Learning

About as cheap as it gets. The only time it was cheaper was 3 months ago.

£42 today · all-time low £41 (Apr 2026) · usually £42

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 68 days · 68 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 68 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £42 (38 days, 55.9%)

Price range: £41 - £44

Price levels: 3 different prices over 68 days

Description

Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI Monitor your model's performance with the help of BertViz, exBERT, and TensorBoard Book Description Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library. The book gives you an introduction to Transformers by showing you how to write your first hello-world program. You'll then learn how a tokenizer works and how to train your own tokenizer. As you advance, you'll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. You'll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. You'll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, you'll be able to deploy your transformer models in a production environment. By the end of this NLP book, you'll have learned how to use Transformers to solve advanced NLP problems using advanced models. What you will learn Explore state-of-the-art NLP solutions with the Transformers library Train a language model in any language with any transformer architecture Fine-tune a pre-trained language model to perform several downstream tasks Select the right framework for the training, evaluation, and production of an end-to-end solution Get hands-on experience in using TensorBoard and Weights & Biases Visualize the internal representation of transformer models for interpretability Who this book is for This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book. Table of Contents From Bag-of-Words to the Transformers A Hands-On Introduction to the Subject Autoencoding Language Models Autoregressive and Other Language Models Fine-Tuning Language Models for Text Classification Fine-Tuning Language Models for Token Classification Text Representation Working with Efficient Transformers Cross-Lingual and Multilingual Language Modeling Serving Transformer Models Attention Visualization and Experiment Tracking

Product Specifications

Brand: Packt Publishing
Format: paperback
ASIN: 1801077657
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 September 2021
Listed Since: 25 June 2021

Barcode

No barcode data available

Packt Publishing Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques

About as cheap as it gets. The only time it was cheaper was 3 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Natural Language Processing with Transformers: Advanced Techniques and Multimodal Applications: Mastering NLP with Transformers with Python. Text, images, and video

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Natural Language Processing with Transformers: Fundamentals and Core Applications: A Practical Guide. From Beginner to Intermediate in Building Intelligent Language Applications

Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Transformers and Large Language Models: The Definitive Study Guide: From Foundations to Advanced Applications: A Comprehensive Resource for Mastering ... Modern AI: Foundations to Production)

Natural Language Processing with Transformers, Revised Edition: Building Language Applications With Hugging Face

Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning: 175 (Studies in Big Data, 175)

Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch (Cognitive Technologies)

Transformer BERT and GPT: Including ChatGPT and Prompt Engineering (MLI Generative AI Series)

The Hundred-Page Language Models Book

Large Language Model Crash Course: Hands on With Python (Mastering Machine Learning)

Transformers Deluxe Edition Book Two: 2

The Dark Hundred-Page Language Models Book

Introduction to Python and Large Language Models: A Guide to Language Models

Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques

Hands-On Large Language Models: Language Understanding and Generation

Transformers for Tube Amplifiers: How to Design, Construct & Use Power, Output & Interstage Transformers and Chokes in Audiophile and Guitar Tube Amplifiers

Transformers One [VINYL]

Maped Creativ Terra Pottery Kit - Real Potter's Tower Set

Transformers Legacy Evolution Leader Transmetal II Megatron 21.5-cm Action Figure

Machine Learning for Text