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

ICLR 2019 Simon S. DuSurbhi Goel

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... (read more)

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