Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations

9 Jun 2017 Alberto Bietti Julien Mairal

The success of deep convolutional architectures is often attributed in part to their ability to learn multiscale and invariant representations of natural signals. However, a precise study of these properties and how they affect learning guarantees is still missing... (read more)

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