Deep Neural Networks with Flexible Complexity While Training Based on Neural Ordinary Differential Equations.
Zhengbo LuoSei-ichiro KamataZitang SunWeilian ZhouPublished in: ICASSP (2021)
Keyphrases
- neural network
- ordinary differential equations
- mathematical modeling
- network architecture
- differential equations
- multi layer perceptron
- phase space
- dynamic systems
- pattern recognition
- training set
- numerical solution
- numerical integration
- partial differential equations
- data sets
- dynamical systems
- back propagation
- biological systems
- high dimensional
- reinforcement learning
- learning algorithm