Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems.
Francisco J. GonzalezMaciej BalajewiczPublished in: CoRR (2018)
Keyphrases
- learning systems
- deep learning
- low dimensional
- learning algorithm
- deep belief networks
- reinforcement learning
- recurrent networks
- unsupervised learning
- high dimensional
- data sets
- learning tasks
- online learning
- denoising
- supervised learning
- active learning
- decision trees
- distributed systems
- high dimensional data
- computer vision
- manifold learning
- recurrent neural networks
- semi supervised
- restricted boltzmann machine
- learning process
- convolutional neural networks