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train_model.py
inference.py
1import torch
2import torch.nn as nn
3
4class NeuralNetwork(nn.Module):
5def __init__(self):
6super().__init__()
7self.flatten = nn.Flatten()
8self.linear_relu_stack = nn.Sequential(
9nn.Linear(28*28, 512),
10nn.ReLU(),
11nn.Linear(512, 512),
12nn.ReLU(),
13nn.Linear(512, 10),
14)
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Great start! Remember to add the forward pass method so your network knows how to process the input tensors.
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