FashionClassifier model

FashionClassifier.py

# Define your network ( Simple Example )
class FashionClassifier(nn.Module):
    def __init__(self):
        super().__init__()
        input_size = 784
        self.fc1 = nn.Linear(input_size, 512)
        self.fc2 = nn.Linear(512, 256)
        self.fc3 = nn.Linear(256, 128)
        self.fc4 = nn.Linear(128, 64)
        self.fc5 = nn.Linear(64,10)
        self.dropout = nn.Dropout(p=0.2)
        
    def forward(self, x):
        x = x.view(x.shape[0], -1)
        x = self.dropout(F.relu(self.fc1(x)))
        x = self.dropout(F.relu(self.fc2(x)))
        x = self.dropout(F.relu(self.fc3(x)))
        x = self.dropout(F.relu(self.fc4(x)))
        x = F.log_softmax(self.fc5(x), dim=1)
        return x