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Data Augmentation for Bayesian Deep Learning
Our methodology is compared to traditional stochastic gradient descent with back-propagation.
Deep Learning
Deep learning (DL) is a high dimensional data reduction technique for constructing high-dimensional predictors in input-output models.
Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading
Deep learning applies hierarchical layers of hidden variables to construct nonlinear high dimensional predictors.
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