Deep learning in visual computing explanations and examples

• 資料種別: 図書
• ISBN: 9780367549626
• タイトル: Deep learning in visual computing explanations and examples
• 著者・編者: Hassan Ugail
• 版: First edition
• 著者標目: Ugail, H. (Hassan)
• 出版事項: CRC Press : Taylor & Francis Group
• 出版年月日等: 2022
• 出版年（W3CDTF）: 2022
• 出版地（国名コード）: us
• 本文の言語コード: en
• 件名標目: Image analysis -- Data processing; Deep learning (Machine learning)
• LCC: TA1654
• 対象利用者: 一般
• 一般注記: Content Type: text (rdacontent), Media Type: unmediated (rdamedia), Carrier Type: volume (rdacarrier); Includes bibliographical references and index; Summary: "This book provides a unique insight into the explosive area of deep machine learning and how the challenges in visual computing can be tackled through this novel method of machine learning. The book introduces the reader to the world of deep neural network architectures with easy to understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find this book as a handy guide for designing and implementing their own projects in the field of visual computing"-- Provided by publisher
• 関連情報（URI）: https://ci.nii.ac.jp/ncid/BC12933312#entity; https://lccn.loc.gov/2021051686
• 連携機関・データベース: 国立情報学研究所 : CiNii Research
• 提供元機関・データベース: CiNii Books; https://ci.nii.ac.jp/books
• NACSIS書誌ID（NCID）: https://ci.nii.ac.jp/ncid/BC12933312 : BC12933312
• LC control number: 2021051686; https://lccn.loc.gov/2021051686