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CRC Press Transformers for Machine Learning: A Deep Dive Book

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Description

Transformers are becoming a core part of many neural network architectures, used across NLP, Speech Recognition, Time Series, and Computer Vision. This book, Transformers for Machine Learning: A Deep Dive, serves as the first comprehensive guide to these evolving techniques and methods. It provides a detailed reference for understanding the many adaptations and alterations that have shaped modern machine learning. Whether you are studying existing models or exploring newer methods, this text offers the technical depth needed to master transformer-based architectures in various applications.

Key Features

This CRC Press book provides a comprehensive reference with detailed explanations for every algorithm and technique related to transformers.

The text covers more than 60 transformer architectures in a comprehensive manner for deep technical study.

Gain insights into transformer applications across NLP, Speech Recognition, Time Series, and Computer Vision.

Explore the many adaptations and alterations that have resulted in newer machine learning techniques and methods.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 May 2022
Listed Since
22 November 2021

Barcode

No barcode data available

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