Top-Down Regularization of Deep Belief Networks

NeurIPS 2013 Hanlin GohNicolas ThomeMatthieu CordJoo-Hwee Lim

Designing a principled and effective algorithm for learning deep architectures is a challenging problem. The current approach involves two training phases: a fully unsupervised learning followed by a strongly discriminative optimization... (read more)

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