Deep Neural Networks in a Mathematical Framework
Language: English
Published by Springer, Berlin, Springer International Publishing, Springer, 2018
Series: Book 256 of 322 - SpringerBriefs in Computer Science
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 66.28
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Add to basketItem description from seller
Seller Inventory # 9783319753034
- Title
- Deep Neural Networks in a Mathematical Framework
- Author
- Anthony L. Caterini
- Publisher
- Springer, Berlin, Springer International Publishing, Springer
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319753037
- ISBN 13
- 9783319753034
- Item weight
- 184 grams
- Dimensions
- 234x154x6 mm
- Series
- Book 256 of 322: SpringerBriefs in Computer Science
This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks. Furthermore, the authors developed framework is both more concise and mathematically intuitive than previous representations of neural networks.
This SpringerBrief is one step towards unlocking the black box of Deep Learning. The authors believe that this framework will help catalyze further discoveries regarding the mathematical properties of neural networks.This SpringerBrief is accessible not only to researchers, professionals and students working and studying in the field of deep learning, but alsoto those outside of the neutral network community.
"Synopsis" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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