Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations

8 Mar 2017 Liangzhen Lai Naveen Suda Vikas Chandra

Deep convolutional neural network (CNN) inference requires significant amount of memory and computation, which limits its deployment on embedded devices. To alleviate these problems to some extent, prior research utilize low precision fixed-point numbers to represent the CNN weights and activations... (read more)

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