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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk management. It further elaborates on the artificial neural 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.
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Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk management. It further elaborates on the artificial neural 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.