Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning.
Saul SantosMonica EkalRodrigo M. M. VenturaPublished in: CoRR (2022)
Keyphrases
- deep learning
- neural network
- global exponential stability
- machine learning
- unsupervised learning
- unsupervised feature learning
- prior knowledge
- pattern recognition
- deep architectures
- image segmentation
- back propagation
- text mining
- neural nets
- learning rate
- weakly supervised
- text classification
- supervised learning
- viewpoint
- pairwise
- data mining