Transformers for Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
by Uday Kamath, Kenneth Graham, Wael Emara
Transformers for Machine Learning introduces the subject of transformer-based approaches within machine learning and pattern recognition. Written by Uday Kamath, Kenneth Graham, and Wael Emara, this focused reference belongs to the Chapman & Hall/CRC Machine Learning & Pattern Recognition series.
About This Book
Transformers for Machine Learning explores the role of transformer-based methods within machine learning and pattern recognition.
The book is authored by Uday Kamath, Kenneth Graham, and Wael Emara.
Published as part of the Chapman & Hall/CRC Machine Learning & Pattern Recognition series, it is suited to readers seeking a focused resource on transformers and their relationship to these fields.
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