class Struct(object): pass
def config(IP_indexes):
configs = Struct()
configs.rhos = 0.1 # set spectral radius 0.1 for all recurrent layers
configs.lis = 0.7 # set li 0.7 for all recurrent layers
configs.IPconf = Struct()
configs.IPconf.DeepIP = 1 # activate pre-train
configs.IPconf.threshold = 0.1 # threshold for gradient
configs.reservoirConf = Struct()
configs.reservoirConf.connectivity = 1 # connectivity of recurrent matrix
configs.readout = Struct()
configs.readout.trainMethod = 'NormalEquations' # train with normal equations (faster)
configs.readout.regularizations = 10.0**np.array(range(-4,-1,1))
return configs
python 定义结构体
最新推荐文章于 2025-10-21 11:37:41 发布
本文详细介绍了一个神经网络的配置参数设置,包括光谱半径、li值、预训练激活、梯度阈值、递归矩阵连通性、读出方法及正则化参数等,为神经网络的高效训练提供指导。
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