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This book focuses on providing an understanding of the technical details of designing traditional single-phase and multiphase power transformers. In this latest edition, which still includes fundaยญmental design equations and theory used to design power transformers, it also provides advanced modeling simulation to further optimize transformer designs.
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Power Transformers: Principles and Applications John Winders CRC Press, Apr 12, 2002 - Technology & Engineering - 304 pages Complete with equations, illustrations, and tables, this book covers.
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21 books based on 4 votes: Transformers: Exodus: The Official History of the War for Cybertron by Alexander C. Irvine, The Transformers Spotlight: Megatr.
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The 17 best transformer books recommended by Santiago, such as Deep Learning and Learning Deep Learning.
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TRANSFORMERS #7 (SRP: $3.99) will be available at comic book shops and digital platforms including Amazon Kindle, Apple Books, comiXology, and Google Play on Wednesday, April 10, 2024. The full list of variant covers is below: TRANSFORMERS #7 Cover A by Daniel Warren Johnson & Mike Spicer. TRANSFORMERS #7 Cover B by Jorge Corona
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January 8, 2024. by P. Ramachandran, V. Gurin. In this first part of the series about the books on power transformers in English, we are setting off on an exciting historical journey. From 1885, when Ganz engineers patented transformers, until the end of the 20th century, tens of books have been published in English, exclusively describing.
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Book Description Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library.
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Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. Key Features: A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.
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Any good text books up to date on transformers? Call me old school, but sometimes I learn best (especially at a foundational level) by reading from a textbook. I've been very interested in transformers and they're obviously the next big thing in ML modeling. Do any of you all know any textbooks that do a good job covering this topic?
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Transformers: Ghosts of Yesterday is a science fiction novel written by Alan Dean Foster. 'It is a prequel to the Michael Bay Transformers film. It is based on a story by David Cian. [15] The story is set in 1969 and details the account of a top secret space ship called Ghost-1, built by the American organization known as Sector 7.
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Showing 1-50 of 668. The Transformers: More Than Meets the Eye, Volume 1 (Paperback) by. James Roberts. (shelved 51 times as transformers) avg rating 4.39 โ 1,213 ratings โ published 2012. Want to Read. Rate this book. 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars.
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Five best books on Transformers in 2022 The Transformer architecture has an encoder-decoder structure that doesn't use recursion or twisting. Published By : Dr Nivash Jeevanandam Transformers are now the preferred model for NLP and computer vision. Transformers serve as the foundation for pre-trained systems such as BERT and GPT.
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Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. Key Features: A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner.
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This book is based on the author's 50+ years experience in the power and distribution transformer industry. The first few chapters of the book provide a step-by-step procedures of transformer design. Engineers without prior knowledge or exposure to design can follow the procedures and calculation methods to acquire reasonable proficiency necessary to designing a transformer. Although the.
