Build Your Own Neural Networks: Step-By-Step Explanation For Beginners by Shin Kilho

Author:Shin, Kilho
Language: eng
Format: epub
Published: 2024-06-23T00:00:00+00:00

​# Set our model to training mode

​model.train()

​

​# Iterating over the training set

​for epoch in range(num_epochs):

​ for data, target in train_data:

​ # Forward pass

​ output = model(data)

​ loss = loss_func(output, target)

​

​ # Backward pass and optimizing

​ optim.zero_grad()

​ loss.backward()

​ optim.step()

​ ...

Once the model is trained, we can validate it:

​# Set our model to evaluation mode

​model.eval()

​

​# No gradients are being tracked in validation

​with torch.no_grad():

​ for data, target in validation_data:

​ output = model(data)

​ ...

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