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Tree-Based Convolutional Neural NetworksIntroduction

Tree-Based Convolutional Neural Networks: Introduction [In this chapter, we provide a whirlwind introduction of the history of deep neural networks (also known as deep learning), positioned in a broader scope of machine learning and artificial intelligence. We then focus on a specific research direction of deep neural networks—incorporating structural information of data into the design of network architectures. This motivates the key contribution of the book, a tree-based convolutional neural network (TBCNN), that performs the convolution operation over tree structures. Finally, we provide an overview of this book.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Tree-Based Convolutional Neural NetworksIntroduction

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Publisher
Springer Singapore
Copyright
© The Author(s) 2018
ISBN
978-981-13-1869-6
Pages
1 –7
DOI
10.1007/978-981-13-1870-2_1
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we provide a whirlwind introduction of the history of deep neural networks (also known as deep learning), positioned in a broader scope of machine learning and artificial intelligence. We then focus on a specific research direction of deep neural networks—incorporating structural information of data into the design of network architectures. This motivates the key contribution of the book, a tree-based convolutional neural network (TBCNN), that performs the convolution operation over tree structures. Finally, we provide an overview of this book.]

Published: Oct 2, 2018

Keywords: Deep learning; Tree-based convolution; Structure modeling

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