Convolutional Neural Networks using Logarithmic Data Representation

3 Mar 2016Daisuke MiyashitaEdward H. LeeBoris Murmann

Recent advances in convolutional neural networks have considered model complexity and hardware efficiency to enable deployment onto embedded systems and mobile devices. For example, it is now well-known that the arithmetic operations of deep networks can be encoded down to 8-bit fixed-point without significant deterioration in performance... (read more)

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