Neural network 仅向输出层顺序网络添加固定偏置
给定以下神经网络Neural network 仅向输出层顺序网络添加固定偏置,neural-network,pytorch,Neural Network,Pytorch,给定以下神经网络 model = torch.nn.Sequential( torch.nn.Linear(X.shape[-1], 64), torch.nn.ReLU(), torch.nn.Dropout(0.5), torch.nn.Linear(64,1), torch.nn.Sigmoid() ) 我只想给输出层(Sigmoid)添加一个固定的偏置。如何做到这一点?out=model(in)+bias
model = torch.nn.Sequential(
torch.nn.Linear(X.shape[-1], 64),
torch.nn.ReLU(),
torch.nn.Dropout(0.5),
torch.nn.Linear(64,1),
torch.nn.Sigmoid()
)
我只想给输出层(Sigmoid)添加一个固定的偏置。如何做到这一点?out=model(in)+bias