Convolutional Neural Networks

Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its layers.

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Veröffentlicht in:Deep Learning with Python S. 63 - 78
1. Verfasser: Ketkar, Nikhil
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: United States Apress L. P 2017
Apress
Schlagworte:
Computer programming / software development
Convolution Operation
Convolutional Neural Network
Deep Learning
Multiple Kernel
Neural Network
Program concepts / learning to program
Programming & scripting languages: general
ISBN:1484227654, 9781484227657
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Abstract Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its layers.
AbstractList Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its layers.
Author Ketkar, Nikhil
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ContentType Book Chapter
Copyright Nikhil Ketkar 2017
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DOI 10.1007/978-1-4842-2766-4_5
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Snippet Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its...
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SubjectTerms Computer programming / software development
Convolution Operation
Convolutional Neural Network
Deep Learning
Multiple Kernel
Neural Network
Program concepts / learning to program
Programming & scripting languages: general
Title Convolutional Neural Networks
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