Deep learning

著者

• Govindaraju, Venugopal
• Srinivasa Rao, Arni S. R.
• Rao, Calyampudi Radhakrishna

書誌事項

Deep learning

edited by Venu Govindaraju, Arni S.R. Srinivasa Rao, C.R. Rao

（Handbook of statistics, v. 48）

Academic Press, an imprint of Elsevier , North-Holland, an imprint of Elsevier, c2023

注記

Includes index

内容説明・目次

内容説明

Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more.

目次

1. Exact deep learning machines Arni S.R. Srinivasa Rao 2. Multiscale representation learning for biomedical analysis Abhishek Singh, Utkarsh Porwal, Anurag Bhardwaj, and Wei Jin 3. Adversarial attacks and robust defenses in deep learning Chun Pong Lau, Jiang Liu, Wei-An Lin, Hossein Souri, Pirazh Khorramshahi, and Rama Chellappa 4. Deep metric learning for computer vision: A brief overview Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, and Venu Govindaraju 5. Source distribution weighted multisource domain adaptation without access to source data Sk Miraj Ahmed, Dripta S. Raychaudhuri, Samet Oymak, and Amit K. Roy-Chowdhury 6. Deep learning methods for scientific and industrial research G.K. Patra, Kantha Rao Bhimala, Ashapurna Marndi, Saikat Chowdhury, Jarjish Rahaman, Sutanu Nandi, Ram Rup Sarkar, K.C. Gouda, K.V. Ramesh, Rajesh P. Barnwal, Siddhartha Raj, and Anil Saini 7. On bias and fairness in deep learning-based facial analysis Surbhi Mittal, Puspita Majumdar, Mayank Vatsa, and Richa Singh 8. Manipulating faces for identity theft via morphing and deepfake: Digital privacy Akshay Agarwal and Nalini Ratha

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BD01374602
• ISBN:
  • 9780443184307
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cambridge, Mass.,[Amsterdam]
• ページ数/冊数: xv, 252 p.
• 大きさ: 24 cm
• 分類:
  • DC23 : 006.31
• 件名:
  • LCSH : Deep learning (Machine learning)
• 親書誌ID:
  • BA00199287