### Traditional ML Framework Usage (PyTorch)

Source: https://mlsysbook.org/tinytorch

Illustrates the typical usage of a pre-built ML library like PyTorch. This approach can be limiting when debugging complex issues.

```python
import torch
model = torch.nn.Linear(784, 10)
output = model(input)
# When this breaks, you're stuck
```

--------------------------------

### Building a Linear Layer in TinyTorch

Source: https://mlsysbook.org/tinytorch

Demonstrates how to define and use a custom Linear layer within the TinyTorch framework. This approach allows for deeper understanding and debugging.

```python
# BUILD it yourself
class Linear:
    def forward(self, x):
        return x @ self.weight + self.bias
```

```python
# USE it on real data
loss.backward()  # YOUR autograd
```

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