model_create.py

import torch
import torch.nn as nn
import torch.nn.functional as F

class MNISTNet(nn.Module):
    """Feedfoward neural network with 1 hidden layer"""
    def __init__(self):
        super(MNISTNet, self).__init__()
        
        self.fc1 = nn.Linear(28*28, 256)
        self.fc2 = nn.Linear(256, 128)
        self.fc3 = nn.Linear(128, 64)        
        self.fc4 = nn.Linear(64, 10)
        self.fc4.is_classifier = True
                
    def forward(self, x):
        x = x.view(x.shape[0], -1)
        x = F.relu(self.fc1(x))
        x = F.relu(self.fc2(x))
        x = F.relu(self.fc3(x))        
        x = self.fc4(x)
        return F.log_softmax(x, dim=1)