Synthetic data for deep learning / Sergey I. Nikolenko.
Material type: TextSeries: Springer optimization and its applications ; v. 174.Publisher: Cham : Springer, [2021]Copyright date: ©2021Description: xii, 348 pages : illustrations (chiefly color)Content type:- text
- computer
- online resource
- 9783030751784
- 3030751783
- 006.31 N693s
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
Books | Castorina | Livros (Books) | 006.31 N693s 2021 IMPA (Browse shelf(Opens below)) | 1 | Available | 39063000808225 |
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006.31 M699f 2018 IMPA Foundations of machine learning/ | 006.31 M978m 2012 IMPA Machine learning: a probabilistic perspective/ | 006.31 M978m 2012 IMPA Machine learning: a probabilistic perspective/ | 006.31 N693s 2021 IMPA Synthetic data for deep learning / | 006.31 P972a 1990 IMPA The algorithmic beauty of plants/ | 006.31 S368l 2002 IMPA Learning with kernels: support vector machines, regularization, optimization, and beyond/ | 006.31 S528u 2014 IMPA Understanding machine learning: from theory to algorithms/ |
Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed July 2, 2021).
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