Deep Gated Networks: A framework to understand training and generalisation in deep learning

Understanding the role of (stochastic) gradient descent (SGD) in the training and generalisation of deep neural networks (DNNs) with ReLU activation has been the object study in the recent past. In this paper, we make use of deep gated networks (DGNs) as a framework to obtain insights about DNNs wit...

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Hauptverfasser:	Lakshminarayanan, Chandrashekar, Singh, Amit Vikram
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Statistics - Machine Learning
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