NSIP Law
Neural network method and apparatus
A processor-implemented neural network method includes: obtaining, from a memory, data an input feature map and kernels having a binary-weight, wherein the kernels are to be processed in a layer of a neural network; decomposing each of the kernels into a first type sub-kernel reconstructed with weights of a same sign, and a second type sub-kernel for correcting a difference between a respective kernel, among the kernels, and the first type sub-kernel; performing a convolution operation by using the input feature map and the first type sub-kernels and the second type sub-kernels decomposed from each of the kernels; and obtaining an output feature map by combining results of the convolution operation.
Samsung Electronics Co., Ltd. Korea Advanced Institute of Science and Technology
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Hyeonuk Leesup Sehwan Yeongjae Jaehyeong
Kim Kim Lee Choi Sim