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Deep Learning (Research (Linear Factor Models (PCA (Principal CA), ICA…
Deep Learning
Research
Linear Factor Models
PCA (Principal CA)
ICA (Independent CA)
Sparse Coding
Auto-encoders
Representation Learning
Structured Probabilistic Models
Monte Carlo methods
Partition Functions
Approximate Inference
Deep Generative Models
Bolztmann Machines
Restricted Boltzmann Machines
Deep Belief Networks
Practices
Deep Feedforward Networks
Regularization
Dropouts
Bagging
Adversarial training
Tangent
Convolutional Networks
Recurrent Networks
LSTM
Mathematics
Linear Algebra
Probabilities
Information Theory