Innovative Topologies and Algorithms for Neural Networks

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Tác giả: Salvatore Graziani, Maria Gabriella Xibilia

Ngôn ngữ: eng

ISBN-13: 978-3036502847

Ký hiệu phân loại:

Thông tin xuất bản: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2021

Mô tả vật lý: 1 electronic resource (198 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 230980

The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved state-of-the-art applications in many fields, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks has been devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. This book gives significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications.
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