import torch
import torch.nn as nn
import torch.optim as optim

# Define a robust Neural Network architecture
class PortfolioNet(nn.Module):
    def __init__(self, input_size=128):
        super(PortfolioNet, self).__init__()
        self.fc1 = nn.Linear(input_size, 256)
        self.dropout = nn.Dropout(p=0.3)
        self.relu = nn.ReLU()
        self.fc2 = nn.Linear(256, 64)
        self.fc3 = nn.Linear(64, 10)

    def forward(self, x):
        x = self.relu(self.fc1(x))
        x = self.dropout(x)
        x = self.relu(self.fc2(x))
        return self.fc3(x)

# >>> Click "Run Code" in terminal below to initiate training! <<<