Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
arXiv: Learning, Volume abs/1805.07798, 2018.
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
PPT (Upload PPT)