Название: Deep Neural Networks and Applications Автор: Ivan Stanimirovic
Издательство: Arcler Press
Год: 2020
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Deep neural networks and applications makes the readers aware about the various Artificial Neutral Networks (ANN) and the topologies related to Main Neutral Networks (MNN). The book throws light on the prospect of Artificial Intelligence (AI) and the applications it has in risk management. It further elaborates on the Artificial Neutral Networks in detail and discusses the practical applications of the deep neutral networks. Also discussed in the book is the optimization of Deep Learning for the best performance of e-learning data, the methodology and the research framework, development of the algorithms that quicken the data processing over complex network architectures and the optimization of database query structures using Deep Learning.
The book is organized as follows: the introduction to artificial neural networks (ANN) is described in Chapter 1, data mining definitions and techniques are presented in Chapter 2, and the following chapters introduce the background of the proposed methods in deep learning, while Chapters 5 and 6 present the methodology and the model evaluation. Experimental results and discussions are also given. The last chapter represents the conclusion and future work.
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