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- Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning / Alex J. Gutman, Jordan Goldmeier Indianapolis, Indiana : Wiley, [2021] ©2021 . xl, 226 stran . ISBN 978-1-119-74174-9 (brožováno) . [1, currently available 0]
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- Codeless deep learning with KNIME : build, train, and deploy various deep neural network architectures using KNIME Analytics Platform / Kathrin Melcher, Rosaria Silipo Birmingham ; Mumbai : Packt, 2020 . x, 367 stran . ISBN 978-1-80056-661-3 (brožováno) . [1, currently available 0]
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- Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville Cambridge, Massachusetts : MIT Press, [2016] ©2016 . xxii, 775 stran . ISBN 978-0-262-03561-3 (vázáno) . [3, currently available 3]
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- Deep learning illustrated : a visual, interactive guide to artificial intelligence / John Krohn with Grant Beyleveld and Aglaé Bassens Boston : Addison-Wesley, [2020] ©2020 . xxxviii, 368 stran . ISBN 978-0-13-511669-2 (brožováno) . [1, currently available 0]
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- Deep learning v jazyku Python : knihovny Keras, Tensorflow / François Chollet ; přeložil: Rudolf Pecinovský Praha : Grada Publishing, 2019 . 328 stran . ISBN 978-80-247-3100-1 (brožováno) . [3, currently available 0]
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- Deep learning with Python / François Chollet Shelter Island : Manning, [2021] ©2021 . xxiv, 478 stran . ISBN 978-1-61729-686-4 (brožováno) . [1, currently available 0]
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- Deeper learning, dialogic learning, and critical thinking : research based strategies for the classroom / edited by Emmanuel Manalo . London ; New York : Routledge, 2020 . xxii, 363 stran . ISBN 978-0-367-26225-9 (brožováno) . [1, currently available 1]
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- Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems / Aurélien Géron . Sebastopol, CA : O'Reilly, 2019 . xxv, 819 stran . ISBN 978-1-492-03264-9 (brožováno) . [2, currently available 0]
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- Practical natural language processing : a comprehensive guide to building real-world NLP systems / Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo : O'Reilly, 2020 . xxvii, 424 stran . ISBN 978-1-492-05405-4 (brožováno) . [1, currently available 0]
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