Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps

arXiv: Learning, Volume abs/1805.07798, 2018.

Cited by: 2|Views3
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Abstract:

We propose a new algorithm to learn a one-hidden-layer convolutional neural network where both the convolutional weights and the outputs weights are parameters to be learned. Our algorithm works for a general class of (potentially overlapping) patches, including commonly used structures for computer vision tasks. Our algorithm draws ideas...More

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