The Art and Science of Transformer: A Breakthrough in Modern Artificial Intelligence and Natural Language Processing - Hardcover
Synopsis
The Art and Science of Transformer: A Breakthrough in the Modern AI and NLP
Are you ready to dive deep into the world of AI and unlock the secrets of one of the most revolutionary advancements in natural language processing? "The Art and Science of Transformer" is your definitive guide to understanding the powerful transformer model that has transformed the landscape of artificial intelligence. Whether you are a student, an aspiring data scientist, or a professional looking to expand your knowledge, this book aims to make the complex world of transformers accessible and understandable.
What You Will Learn:
Word Embedding: Grasp the basics of representing words in vector space, setting the stage for deeper understanding.
Attention Mechanism: Discover how attention mechanisms enable models to focus on relevant parts of input data, enhancing performance.
Self-Attention: Learn about self-attention and its pivotal role in allowing models to weigh the importance of different words within a sequence.
Positional Encoding: Understand how positional encoding helps transformers retain the order of words, a crucial aspect of sequence processing.
Multi-Headed Attention: Dive into the concept of multi-headed attention and its contribution.
Transformer Architecture: Explore the complete transformer architecture, from encoder and decoder stacks to the whole architecture.
Why This Book?
Comprehensive Coverage
Clear Explanations
Insightful Insights
"synopsis" may belong to another edition of this title.
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The Art and Science of Transformer (Hardcover)
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Hardcover. Condition: new. Hardcover. The Art and Science of Transformer: A Breakthrough in the Modern AI and NLPAre you ready to dive deep into the world of AI and unlock the secrets of one of the most revolutionary advancements in natural language processing? "The Art and Science of Transformer" is your definitive guide to understanding the powerful transformer model that has transformed the landscape of artificial intelligence. Whether you are a student, an aspiring data scientist, or a professional looking to expand your knowledge, this book aims to make the complex world of transformers accessible and understandable.What You Will Learn: Word Embedding: Grasp the basics of representing words in vector space, setting the stage for deeper understanding.Attention Mechanism: Discover how attention mechanisms enable models to focus on relevant parts of input data, enhancing performance.Self-Attention: Learn about self-attention and its pivotal role in allowing models to weigh the importance of different words within a sequence.Positional Encoding: Understand how positional encoding helps transformers retain the order of words, a crucial aspect of sequence processing.Multi-Headed Attention: Dive into the concept of multi-headed attention and its contribution.Transformer Architecture: Explore the complete transformer architecture, from encoder and decoder stacks to the whole architecture. Why This Book?Comprehensive CoverageClear ExplanationsInsightful Insights This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798895196915
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