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NUMBER FORMAT SELECTION IN RECURRENT NEURAL NETWORKS

机译:经常性神经网络中的数字格式选择

摘要

A computer-implemented method of selecting a number format for representing two or more values of a recurrent neural network (RNN) for use in configuring a hardware implementation of the RNN, the method comprising: receiving a representation of the RNN; implementing the representation of the RNN as a test neural network for operation on a sequence of test inputs, each step of the test neural network comprising an instance of the two or more values of the RNN; operating the test neural network for a plurality of steps on the sequence of test inputs and collecting statistics for provision to a number format selection algorithm; and applying a number format selection algorithm to the statistics so as to derive a common number format for the plurality of instances of the two or more values of the RNN.
机译:一种选择用于表示用于配置RNN的硬件实现的复发性神经网络(RNN)的两个或更多个值的数字格式的计算机实现的方法,该方法包括:接收RNN的表示; 在测试输入序列上实现RNN作为测试神经网络的表示,测试神经网络的每个步骤包括RNN的两个或更多个值的实例; 在测试输入序列上进行多个步骤操作测试神经网络,并将统计数据提供给数字格式选择算法; 并将数字格式选择算法应用于统计信息,以便从RNN的两个或多个值的多个实例推导出共同的数量格式。

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