Transformers for Machine Learning. A Deep Dive, Paperback

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. This is the first comprehensive book on transformers.

• Publisher: Taylor & Francis Ltd
• Author(s): Wael Emara
• Number of pages: 257
• Collection: Chapman & Hall/CRC Machine Learning & Pattern Recognition
• Publication date: 2022
• Dimensions: 156 x 234 x 22
• Cover type: Paperback / softback