Flattened Convolutional Neural Networks for Feedforward Acceleration

17 Dec 2014Jonghoon JinAysegul DundarEugenio Culurciello

We present flattened convolutional neural networks that are designed for fast feedforward execution. The redundancy of the parameters, especially weights of the convolutional filters in convolutional neural networks has been extensively studied and different heuristics have been proposed to construct a low rank basis of the filters after training... (read more)

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