| import torch | |
| import torch.nn as nn | |
| class SimpleNN(nn.Module): | |
| def __init__(self, input_size=784, hidden_size=128, num_classes=10): | |
| super(SimpleNN, self).__init__() | |
| self.fc1 = nn.Linear(input_size, hidden_size) | |
| self.relu = nn.ReLU() | |
| self.fc2 = nn.Linear(hidden_size, num_classes) | |
| def forward(self, x): | |
| x = x.view(x.size(0), -1) | |
| x = self.fc1(x) | |
| x = self.relu(x) | |
| x = self.fc2(x) | |
| return x | |