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Synthetic Data for Deep Learning, Paperback by Nikolenko, Sergey I., Like New...

Description: Synthetic Data for Deep Learning, Paperback by Nikolenko, Sergey I., ISBN 3030751805, ISBN-13 9783030751807, Like New Used, Free shipping in the US This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come. Th can also serve as an introduction to several other important subfields of machine learning that are seldom touched upon in other books. Machine learning as a discipline would not be possible without the inner workings of optimization at hand. Th includes the necessary sinews of optimization though the crux of the discussion centers on the increasingly popular tool for training deep learning models, namely synthetic data. It is expected that the field of synthetic data will undergo exponential growth in the near future. This book serves as a comprehensive survey of the field.   In the simplest case, synthetic data refers to computer-generated graphics used to train computer vision models. There are many more facets of synthetic data to consider. In the section on basic computer vision, th discusses fundamental computer vision problems, both low-level (., optical flow estimation) and high-level (., object detection and semantic segmentation), synthetic environments and datasets for outdoor and urban scenes (autonomous driving), indoor scenes (indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision (in neural programming, bioinformatics, NLP, and more). It also surveys the work on improving synthetic data development and alternative ways to produce it such as GANs. Th introduces and reviews several different approaches to synthetic data in various domains of machine learning, most notably the following fields: domain adaptation for making synthetic data more realistic and/or adapting the models to be trained on synthetic data and differential privacy for generating synthetic data with privacy guarantees. This discussion is accompanied by an introduction into generative adversarial networks (GAN) and an introduction to differential privacy.

Price: 136.61 USD

Location: Jessup, Maryland

End Time: 2024-11-09T00:44:09.000Z

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Synthetic Data for Deep Learning, Paperback by Nikolenko, Sergey I., Like New...

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Book Title: Synthetic Data for Deep Learning

Number of Pages: Xii, 348 Pages

Language: English

Publication Name: Synthetic Data for Deep Learning

Publisher: Springer International Publishing A&G

Publication Year: 2022

Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Operations Research, General

Item Weight: 19.4 Oz

Type: Textbook

Subject Area: Mathematics, Computers, Science, Business & Economics

Item Length: 9.3 in

Author: Sergey I. Nikolenko

Series: Springer Optimization and Its Applications Ser.

Item Width: 6.1 in

Format: Trade Paperback

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