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РецензированоEN2020

Deep Learning Architectures

Ovidiu Calin

Учебная литература · 2020

Аннотация

This book describes how neural networks operate from the mathematical perspective, having in mind that the success of the neural networks methods should not be determined by trial-and-error or luck, but by a clear mathematical analysis. The main goal of the present work is to write the ideas and concepts of neural networks, which are used nowadays at an intuitive level, into a precise modern mathematical language. The book is a mixture of old good classical mathematics and modern concepts of deep learning.

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«This book describes how neural networks operate from the mathematical perspective, having in mind that the success of the neural networks methods should not be determined by trial-and-error or luck, but by a clear mat…»

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This book describes how neural networks operate from the mathematical perspective, having in mind that the success of the neural networks methods should not be determined by trial-and-error or luck, but by a clear mat… Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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