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Book Synopsis

Foundations of Representation Theory in Transformers.-  Word Embeddings and Positional Encoding.- Attention Mechanisms.- Transformer Architecture: Encoder and Decoder.- Transformers in Natural Language Processing.- Transformers in Computer Vision.- Time Series Forecasting with Transformers.- Signal Analysis and Transformers.- Advanced Topics and Future Directions.- Convergence of Transformer Models: A Dynamical Systems Perspective.

The Geometry of Intelligence Foundations of Transformer Networks in Deep Learning

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    A Hardback by Pradeep Singh

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      Publisher: Springer
      Publication Date: 03/06/2025
      ISBN13: 9789819647057, 978-9819647057
      ISBN10:

      Description

      Book Synopsis

      Foundations of Representation Theory in Transformers.-  Word Embeddings and Positional Encoding.- Attention Mechanisms.- Transformer Architecture: Encoder and Decoder.- Transformers in Natural Language Processing.- Transformers in Computer Vision.- Time Series Forecasting with Transformers.- Signal Analysis and Transformers.- Advanced Topics and Future Directions.- Convergence of Transformer Models: A Dynamical Systems Perspective.

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