Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mathematical Foundations and Transformer Principles

Mathematical Foundations and Transformer Principles

Sun, Wei

Paperback

Series: Transformer Principles, Book 1

General ComputersGeneral Education

ISBN13: 9798182096218
Publisher: Independently Published
Published: Jun 22 2026
Pages: 550
Weight: 2.77
Height: 1.11 Width: 8.50 Depth: 11.00
Language: English
The Transformer Principles Series is a three-volume graduate-level treatise that builds a complete mathematical and engineering understanding of modern AI systems, from the foundational attention mechanism to large language models and multimodal architectures.

Volume I - Mathematical Foundations and Transformer Principles begins with the historical evolution from symbolic AI to deep learning, then develops the essential mathematics: linear algebra, probability, optimization, neural network backpropagation, and information theory. These tools are applied through a systematic construction of the Transformer - self-attention, multi-head projections, positional encodings, feed-forward networks, residual connections, and normalization - culminating in the complete encoder-decoder architecture and an exploration of efficient attention variants, mixture-of-experts, and state-space models.

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