Neural Code

PyTorch Neural Network Template

import torch
import torch.nn as nn

class SmartNeuralNet(nn.Module):
    def __init__(self, input_size, hidden_size, num_classes):
        super(SmartNeuralNet, self).__init__()
        self.l1 = nn.Linear(input_size, hidden_size) 
        self.relu = nn.ReLU()
        self.l2 = nn.Linear(hidden_size, num_classes)  
    
    def forward(self, x):
        out = self.l1(x)
        out = self.relu(out)
        out = self.l2(out)
        return out

model = SmartNeuralNet(input_size=784, hidden_size=500, num_classes=10)
print(f"Model initialized: {model}")