class LinearNet(nn.Module): | |
def __init__(self, input_size = 784, latent_space = 16, n_classes = 10,): | |
super().__init__() | |
self.fc1 = nn.Linear(input_size, latent_space) | |
self.fc2 = nn.Linear(latent_space, n_classes) | |
def forward(self, x): | |
x = self.fc1(x) | |
x = self.fc2(x) | |
output = F.log_softmax(x, dim=1) | |
return output |