Keras 初始化火炬中的重量和偏差
Pytorch中以下keras代码的等效命令是什么Keras 初始化火炬中的重量和偏差,keras,pytorch,torch,Keras,Pytorch,Torch,Pytorch中以下keras代码的等效命令是什么 Dense(64, kernel_initializer='he_normal', bias_initializer='zeros', name='uhat_digitcaps')(d5) 如何初始化权重和偏差 谢谢 class Net(nn.Module): def __init__(self, in_channels, out_channels): self.linear = nn.Linear(in_channe
Dense(64, kernel_initializer='he_normal', bias_initializer='zeros', name='uhat_digitcaps')(d5)
如何初始化权重和偏差
谢谢
class Net(nn.Module):
def __init__(self, in_channels, out_channels):
self.linear = nn.Linear(in_channels, 64)
nn.init.kaiming_normal_(self.linear.weight, mode='fan_out')
nn.init.constant_(self.linear.bias, 0)