variational autoencoders (vaes)
2 episodes mention this concept
lexfridmanSep 27, 2016Foundations and Challenges of Deep Learning: Compositionality, Generalization, and Optimization
TechnologyCurse of dimensionalityCompositional modelsDistributed representationsDepth (neural networks)- lexfridmanSep 27, 2016
Foundations of Unsupervised Deep Learning: Sparse Coding, Autoencoders, and Generative Models
TechnologyUnsupervised LearningSupervised LearningDeep LearningHierarchical Representations
Knowledge Graph
Related concepts — line thickness indicates connection strength. Click any node to explore.
Related concepts
Concepts that appear alongside variational autoencoders (vaes) across episodes.
- generative adversarial networks (gans)
- long-term dependencies
- recurrent neural networks (rnns)
- convolutional neural networks (cnns)
- sparse coding
- probabilistic models
- distributed representations
- high-dimensional optimization landscape
- representation learning
- curse of dimensionality
- attention mechanisms
- graphical models
- backpropagation
- unsupervised learning
- skip connections
- pixel recurrent neural networks (pixelcnns)
- extrapolation
- autoencoders
- compositional models
- feature detectors