Transformers for Machine Learning. A Deep Dive, Paperback/Wael Emara
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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
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