alexnet pretrained model pytorch code example
Example: pytorch model
class Model(nn.Module):
def __init__(self, in_features=4, h1=8, h2=9, out_features=3):
# how many layers?
super().__init__()
self.fc1 = nn.Linear(in_features, h1)
self.fc2 = nn.Linear(h1, h2)
self.out = nn.Linear(h2, out_features)
def forward(self, x):
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.out(x)
return x