Neural network weight discretization method and system
A neural network and discretization technology, applied in the field of neural network weight discretization, to achieve the effect of reducing computational complexity and storage space consumption
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[0069] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0070] The main operation part of the neural network calculation is the multiplication and accumulation operation of the input data and the weight, and the accuracy of the weight directly affects the complexity of the calculation. The present invention can effectively reduce the accuracy requirement of the weight through the method of probability sampling, significantly reduce the memory usage of the weight memory and reduce the operation complexity under the premise of almost no influence on the performance. This method can be used not only for offline learning of neural networks, but also for on-...
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