Transformers for Machine Learning - A Deep Dive (Paperback)

A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Machine Learning & Pattern Recognition
Release date:	May 2022
First published:	2022
Authors:	Uday Kamath • Kenneth Graham • Wael Emara
Dimensions:	234 x 156 x 22mm (L x W x T)
Format:	Paperback
Pages:	257
ISBN-13:	978-0-367-76734-1
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-367-76734-1
Barcode:	9780367767341

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