Tyler Highlander

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.......................................................................................................................................... 1 1.0 INTRODUCTION ..................................................................................................................... 1 2.0 BACKGROUND / APPROACH(More)
Convolutional neural networks (CNNs) are currently state-of-the-art for various classification tasks, but are computationally expensive. Propagating through the convolutional layers is very slow, as each kernel in each layer must sequentially calculate many dot products for a single forward and backward propagation which equates to O(N2n2) per kernel per(More)
Convolutional neural networks (CNNs) are currently state-of-the-art for various classification tasks, but are computationally expensive. Propagating through the convolutional layers is very slow, as each kernel in each layer must sequentially calculate many dot products for a single forward and backward propagation which equates to O(N2n2) per kernel per(More)
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