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Convolutional Neural Networks (CNNs) has shown a great success in many areasincluding complex image classification tasks. However, they need a lot ofmemory and computational cost, which hinders them from running in relativelylow-end smart devices such as smart phones. We propose a CNN compression methodbased on CP-decomposition and Tensor Power Method. We also propose an iterativefine tuning, with which we fine-tune the whole network after decomposing eachlayer, but before decomposing the next layer. Significant reduction in memoryand computation cost is achieved compared to state-of-the-art previous workwith no more accuracy loss.

CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression