Stable Architectures for Deep Neural Networks

9 May 2017Eldad HaberLars Ruthotto

Deep neural networks have become invaluable tools for supervised machine learning, e.g., classification of text or images. While often offering superior results over traditional techniques and successfully expressing complicated patterns in data, deep architectures are known to be challenging to design and train such that they generalize well to new data... (read more)

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