model.py

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

class MultiLayerClassifier(nn.Module):
    def __init__(self, input_size, num_classes):
        super(MultiLayerClassifier, self).__init__()
        
        self.fc1 = nn.Linear(input_size, 128, bias=True)
        self.dropout1 = nn.Dropout(0.5) 
        self.fc2 = nn.Linear(128, num_classes, bias=True)
    
    def forward(self, x):
        x = F.relu(self.fc1(x))
        x = self.dropout1(x)
        x = self.fc2(x)
        
        return x