Tree-Based Convolutional Neural Networks

Principles and Applications de

, ,

Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2018-10-01

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
58,01

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description


This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs),for processing tree-structured data. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks to their short propagation path, they are as efficient in learning as CNNs; yet they are also as structure-sensitive as RNNs. 
In this book, readers will also find a comprehensive literature review of related work, detailed descriptions of TBCNNs and their variants, and experiments applied to program analysis and natural language processing tasks. It is also an enjoyable read for all those with a general interest in deep learning.

Pages
96 pages
Collection
SpringerBriefs in Computer Science
Parution
2018-10-01
Marque
Springer
EAN papier
9789811318696
EAN PDF
9789811318702

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
2806 Ko
Prix
58,01 €
EAN EPUB
9789811318702

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1853 Ko
Prix
58,01 €