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The Transformer Architecture - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: E-Books (https://softwarez.info/Forum-E-Books) +--- Thread: The Transformer Architecture (/Thread-The-Transformer-Architecture) |
The Transformer Architecture - ebooks1001 - 12-29-2023 ![]() Free Download The Transformer Architecture: A Practical Guide to Natural Language Processing (LLMs for Beginners to Experts) by Tommy Hogan English | 17 Sept. 2023 | ISBN: N/A | ASIN: B0CJ95HBH5 | 179 Pages | PNG | 15 MB Learn how Transformers are revolutionizing the way machines understand, interpret, and generate human language. Master the fundamentals of Transformers and build your own Transformer models for a range of real-world NLP applications. Gain hands-on experience with Transformers through practical use cases, from chatbots and sentiment analysis to machine translation and question answering. Understand the latest advances in Transformers and stay ahead of the curve. Who is this "The Transformer Architecture" for? AI enthusiasts of all levels Developers who want to learn how to implement and deploy Transformer models Data scientists who want to leverage the power of Transformers for NLP tasks Tech innovators who want to stay updated with the latest advancements in NLP technology What's inside? An introduction to the history and key components of Transformers A hands-on guide to implementing Transformers from scratch Tips on optimizing model performance Real-world use cases of Transformers Discussions of data handling, ethics, evaluation, and deployment "The Transformer Architecture: A Practical Guide to Natural Language Processing" is a comprehensive guide that covers everything you need to know to get started with Transformers, from the basics to advanced topics. The book is packed with practical examples that will help you learn by doing. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Links are Interchangeable - Single Extraction |