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There are many reasons why neural networks fascinate us and have captivated headlines in recent years. They make web searches better, organize photos, and are e
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This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and desc
Discrete Mathematics of Neural Networks
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This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of
Math for Deep Learning
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Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the de