How can I visualize my PyTorch model's architecture?

How can I visualize my PyTorch model's architecture?

You can use libraries like torchviz or TensorBoard to visualize your model's architecture. Would you like a code example?

Yes, please provide a code example using torchviz.

Sure! First, install torchviz using pip install torchviz. Then, you can visualize your model like this:

from torchviz import make_dot
import torch

model = MyModel()  # Replace with your model
x = torch.randn(1, 3, 224, 224)  # Example input
make_dot(model(x))

What if I want to visualize the training process?

For visualizing the training process, you can use TensorBoard. You can log metrics like loss and accuracy during training. Would you like to see how to set that up?