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Convolutional Deep Belief Networks

In computer science, Convolutional Deep Belief Network (CDBN) is a type of deep artificial neural network that is composed of multiple layers of… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Collective endeavours in the fields of computational neuroscience, software engineering, and biology permitted outlining… 
2018
2018
  • Yang LiC. Li
  • 2018
  • Corpus ID: 69545521
Singer recognition is an important branch of music retrieval and classification. This paper focuses on the application of… 
2017
2017
Understanding visual input as perceived by humans is a challenging task for machines. Today, most successful methods work by… 
2016
2016
To spot keywords on handwritten documents, we present a hybrid keyword spotting system, based on features extracted with… 
2016
2016
Deep learning methods have shown great success in many research areas such as object recognition, speech recognition, and natural… 
2014
2014
Deep Learning has become a popular approach for unsupervised feature learning [3]. It is now used extensively for object, face… 
2014
2014
In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from… 
2011
2011
An object oriented design was employed for the project. This significantly improves the readability and scalability of the code… 
2010
2010
Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why… 
2010
2010
Title: Applying Deep Belief Networks in the Game of Go Author: Peter Krafft, Mathematics and Statistics CE Type: Independent…