network.py

import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F

class OurNet(nn.Module):
 def __init__(self, input_size, hidden_size, num_classes):
     super(Net, self).__init__()
     self.layer_1 = nn.Linear(n_inputs,hidden_size, bias=True)
     self.relu = nn.ReLU()
     self.layer_2 = nn.Linear(hidden_size, hidden_size, bias=True)
     self.output_layer = nn.Linear(hidden_size, num_classes, bias=True)
 
 def forward(self, x):
     out = self.layer_1(x)
     out = self.relu(out)
     out = self.layer_2(out)
     out = self.relu(out)
     out = self.output_layer(out)
     return out