Transformers for Machine Learning
A comprehensive guide to transformer architectures in speech, text, time series, and computer vision
First comprehensive transformer book: 60+ architectures, applications across modalities, practical case studies in Colab.
About the book
The first authoritative book on transformers, covering 60+ architectures with theoretical explanations for researchers and practical hands-on case studies for practitioners. Demonstrates how to apply transformer techniques across speech, text, time series, and computer vision with runnable Google Colab examples.
Summary
Summary coming soon!