我的带有可变隐藏层的线性模型看起来还不错吗? [Pytorch]
我只需要一些帮助,因为我获得了很高的损失价值,这是我创建的第一个模型,因此不确定它是原因是我的模型或输入数据。
我的代码在下面
class Net(nn.Module):
def __init__(self, D_in, H, D_out,num_layers,dropout):
super().__init__()
self.fcs = nn.ModuleList([nn.Linear(D_in, H)])
for k in range(num_layers-1):
self.fcs.append(nn.Linear(H, H))
self.fcs.append(nn.Linear(H, D_out))
self.relu = nn.ReLU()
self.dropout = nn.Dropout(dropout)
def forward(self, x):
for l in self.fcs:
x = self.dropout(x)
x = self.relu(l(x))
return x.squeeze()
I just need some help as I am getting very high loss values and this is the first model ive created myself so not sure if its my model or input data that is the cause.
My code is below
class Net(nn.Module):
def __init__(self, D_in, H, D_out,num_layers,dropout):
super().__init__()
self.fcs = nn.ModuleList([nn.Linear(D_in, H)])
for k in range(num_layers-1):
self.fcs.append(nn.Linear(H, H))
self.fcs.append(nn.Linear(H, D_out))
self.relu = nn.ReLU()
self.dropout = nn.Dropout(dropout)
def forward(self, x):
for l in self.fcs:
x = self.dropout(x)
x = self.relu(l(x))
return x.squeeze()
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