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Intro
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Classroom Contents
Energy-Based Approaches to Representation Learning - Yann LeCun
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- 1 Intro
- 2 How do humans and animals learn
- 3 Selfsupervised running
- 4 Video prediction
- 5 Building a predictor
- 6 The right framework
- 7 Thin plates
- 8 Energy functions
- 9 Energybased model
- 10 Latent variable model
- 11 Autoencoders
- 12 probabilistic modeling
- 13 highdimensional continuous spaces
- 14 sparse coding
- 15 sparse modeling
- 16 sparse autoencoder
- 17 linear decoder
- 18 convolutional
- 19 model predictive control
