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Автор: Akka Zemmari, Jenny Benois-Pineau
Издательство: Springer
Год: 2020
Страниц: 117
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
This book provides the reader with the fundamental knowledge in the area of Deep Learning (DL) with application to visual content mining. The authors give a fresh view on Deep Learning approaches both from the point of view of image understanding and supervised Machine Learning (ML). It contains chapters which introduce theoretical and mathematical foundations of neural networks and related optimization methods. Then it discusses some particular very popular architectures used in the domain: convolutional neural networks and recurrent neural networks.