Convolutional Neural Fabrics

Understand

Despite the success of CNNs, selecting the optimal architecture for a given task remains an open problem.

• Instead of aiming to select a single optimal architecture, we propose a "fabric" that embeds an exponentially large number of architectures.
• The fabric consists of a 3D trellis that connects response maps at different layers, scales, and channels with a sparse homogeneous local connectivity pattern.
• The only hyper-parameters of a fabric are the number of channels and layers.