Deep learning in practice / Mehdi Ghayoumi, Cornell University.

Author/creator Ghayoumi, Mehdi
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, Taylor & Francis Group, 2022.
Descriptionxix, 198 pages : illustrations ; 25 cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Abstract "Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step"-- Provided by publisher.
General note"A Chapman & Hall book."
Bibliography noteIncludes bibliographical references (pages 189-193) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2021030250
ISBN9780367458621 (hardback)
ISBN9780367456580 (paperback)
ISBN(ebook)