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Philosophical Transactions of the Royal Society A

|
By G. A. Constantinides, Constantinides G. A
| royalsocietypublishing.org
1. Introduction This paper considers the development of deep neural networks in the supervised learning setting [1]. Inspired by the recent rise of interest in specialized hardware accelerators for deep neural networks [2], we shall take a fresh look at the question of suitable network topologies and basic node functionalities for such accelerators. We shall begin by defining the supervised learning problem.
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