Tree-based convolutional neural networks principles and applications /
This book proposes a novel neural architecture, tree-based convolutional neural networks (TBCNNs), for processing tree-structured data. TBCNNs are related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks to their short...
Saved in:
Main Author: | Mou, Lili, |
---|---|
Other Authors: | Jin, Zhi,, SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
Singapore :
Springer,
[2018]
|
Physical Description: |
1 online resource. |
Series: |
SpringerBriefs in computer science.
|
Subjects: |
In Prospector
Similar Items
-
Convolutional neural networks for medical applications
by: Teoh, Teik Toe,
Published: (2023) -
Deep learning and convolutional neural networks for medical imaging and clinical informatics
Published: (2019) -
Deep learning : fundamentals, theory and applications
Published: (2019) -
Introduction to deep learning : from logical calculus to artificial intelligence
by: Skansi, Sandro,
Published: (2018) -
Applications of artificial intelligence and neural systems to data science
Published: (2023)