Innovative Topologies and Algorithms for Neural Networks

Download or read book Innovative Topologies and Algorithms for Neural Networks written by Salvatore Graziani and published by MDPI. This book was released on 2021-04-01 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.