import torch

class MNIST(torch.nn.Module):
    def __init__(self):
        super(MNIST, self).__init__()
        self.conv = torch.nn.Sequential(torch.nn.Conv2d(1, 32, 3, 1, 1),
                                        torch.nn.ReLU(),
                                        torch.nn.Conv2d(32, 64, 3, 1, 1),
                                        torch.nn.ReLU(),
                                        torch.nn.MaxPool2d(2, 2))
        self.dense = torch.nn.Sequential(torch.nn.Linear(14 * 14 * 64, 1024),
                                         torch.nn.ReLU(),
                                         torch.nn.Dropout(p=0.2),
                                         torch.nn.Linear(1024, 10))

    def forward(self, x):
        x = self.conv(x)
        x = x.view(-1, 14 * 14 * 64)
        x = self.dense(x)
        return x