Oct 27, 2017 · In our work, we bridge deep neural network design with numerical differential equations. We show that many effective networks, such as ResNet, ...
Deep neural networks have become the state- of-the-art models in numerous machine learning tasks. However, general guidance to network ar-.
In our work, we bridge deep neural network design with numerical differential equations. We show that many effective networks, such as ResNet,. PolyNet, ...
This work bridge deep neural network design with numerical differential equations. We show that many effective networks can be interpreted as different ...
In our work, we bridge deep neural network design with numerical differential equations. We show that many effective networks, such as ResNet, PolyNet, ...
The learned. Page 3. Beyond Finite Layer Neural Networks. PDE-Net can accurately predict the dynamical behavior of data and has the potential to reveal the ...
It is shown that many effective networks, such as ResNet, PolyNet, FractalNet and RevNet, can be interpreted as different numerical discretizations of ...
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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. Y. Lu, A. Zhong, Q. Li, and B. Dong.
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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. Y Lu, A Zhong, Q Li, B Dong. Thirty-fifth International ...