In this paper, a functions localized network with branch gates (FLN-bg) is studied, which consists of a basic network and a branch gate network.
In this paper, a functions localized network with branch gates (FLN-bg) is studied, which consists of a basic network and a branch gate network.
In this paper, a functions localized network with branch gates (FLN-bg) is studied, which consists of a basic network and a branch gate network.
A new architecture of neural networks (NNs) is proposed named neural networks with branch gates (NN-bg). It aims at improving the generalization ability of ...
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In this paper, a functions localized network with branch gates (FLN-bg) is studied, which consists of a basic network and a branch gate network. The branch gate ...
Each input dimension or each activation unit can be a potential branching option and neural networks of interest often have high dimensional inputs and ...
A functions localized neural network with branch gates. Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata. Pages 1461-1481: View PDF. Article preview.
Every gate in a circuit diagram gets some inputs and can right away compute two things: 1. its output value and 2. the local gradient of its output with respect ...
In this paper, a new method which enables the multi-branch NNs to have functional localization is proposed. Neural networks with Branch Control adjust signals ...
Missing: gates. | Show results with:gates.
This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these.