Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules.
Kazuki IrieFrancesco FaccioJürgen SchmidhuberPublished in: CoRR (2022)
Keyphrases
- learning rules
- neural nets
- differential equations
- neural network
- biologically inspired
- artificial neural networks
- back propagation
- learning algorithm
- learning tasks
- learning scheme
- boltzmann machine
- learning process
- feed forward
- supervised learning
- reinforcement learning
- dynamical systems
- wavelet transform
- decision trees
- machine learning
- state space
- prior knowledge
- support vector
- boundary value problem