Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions.
MohamadAli TorkamaniPhillip WallisShiv ShankarAmirmohammad RooshenasPublished in: CoRR (2019)
Keyphrases
- neural network
- activation function
- neural nets
- ordinary differential equations
- learning algorithm
- artificial neural networks
- differential equations
- active learning
- back propagation
- learning tasks
- neural network model
- reinforcement learning
- multilayer perceptron
- artificial intelligence
- prior knowledge
- feed forward
- support vector
- learning rate
- network architecture
- machine learning