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02318aam a2200397 i 4500 001 A27C1D24B8CA11EDAC6855BD37ECA4DB 003 SILO 005 20230302011926 008 211208t20222022flua b 001 0 eng 010 $a 2021059529 020 $a 0367771659 020 $a 9780367771652 020 $a 0367767341 020 $a 9780367767341 035 $a (OCoLC)1298711131 040 $a DLC $b eng $e rda $c DLC $d BDX $d OCLCO $d OCLCF $d UKMGB $d YDX $d SILO 050 00 $a QA76.87 K354 2022 100 1 $a Kamath, Uday, $e author. 245 10 $a Transformers for machine learning : $b a deep dive / $c Uday Kamath, Kenneth L. Graham, Wael Emara. 250 $a First edition. 264 1 $a Boca Raton : $b CRC Press, Taylor & Francis Group, $c 2022. 300 $a xxv, 257 pages : $b illustrations ; $c 25 cm. 490 1 $a Chapman & Hall/CRC machine learning & pattern recognition series 504 $a Includes bibliographical references and index. 520 $a "Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. 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. The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field"-- $c Provided by publisher. 650 0 $a Neural networks (Computer science) 650 0 $a Computational intelligence. 650 0 $a Machine learning. 700 1 $a Graham, Kenneth L., $e author. 700 1 $a Emara, Wael, $e author. 776 08 $i ebook version : $z 9781000587098 830 0 $a Chapman & Hall/CRC machine learning & pattern recognition series. 941 $a 1 952 $l USUX851 $d 20231004012013.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=A27C1D24B8CA11EDAC6855BD37ECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search