Titlebook: Deep Neural Networks in a Mathematical Framework; Anthony L. Caterini,Dong Eui Chang Book 2018 The Author(s) 2018 deep learning.machine le

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https://doi.org/10.1007/978-3-322-80729-8This chapter serves as a conclusion of this book and provides possible directions for future research.

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Introduction and Motivation,This chapter serves as a basic introduction to neural networks, including their history and some applications in which they have achieved state-of-the-art results.

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Generic Representation of Neural Networks,s for vector-valued functions and their derivatives. We use these tools in this chapter to describe the operations employed in a generic layered neural network. Since neural networks have been empirically shown to reap performance benefits from stacking increasingly more layers in succession, it is

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Book 2017at the disorder, though rare and highly morbid, is treatable when it is not misdiagnosed. Given the limited diagnostic and clinical training offered to clinicians, this book aims to equip professionals with the tools needed to improve the poor quality of life of youth with PNES..The text begins by i

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Changing Export Income and the Developing Countries’ Economy: A Diagrammatic Representationthe availability of labour force; (2) those whose traditional production is restricted because of the availability of suitable land; and (3) those whose production requires some imported inputs directly or indirectly, and thus have the extent of their output restricted by the availability of foreign exchange.

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