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2 episodes mention this concept
lexfridmanSep 27, 2016Foundations and Challenges of Deep Learning: Compositionality, Generalization, and Optimization
TechnologyCurse of dimensionalityCompositional modelsDistributed representationsDepth (neural networks)- lexfridman
MIT 6.S094: Deep Learning Architectures and Semantic Segmentation in Computer Vision
TechnologyComputer VisionDeep LearningNeural NetworksSupervised Learning
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Related concepts
Concepts that appear alongside skip connections across episodes.
- neural networks
- long-term dependencies
- distributed representations
- occlusion
- convolutional neural networks (cnns)
- variational autoencoders (vaes)
- spatial invariance
- dilated convolutions
- encoder-decoder framework
- image classification
- semantic scene segmentation
- pose variability
- pooling (max pooling)
- generative adversarial networks (gans)
- recurrent neural networks (rnns)
- high-dimensional optimization landscape
- curse of dimensionality
- attention mechanisms
- activation functions
- fully convolutional networks (fcns)