How would you implement a custom loss function in a TensorFlow or PyTorch model?
- Call the loss function during evaluation
- Define a function that calculates the loss
- Use the built-in loss functions
- Use the optimizer to define a loss function
To implement a custom loss function, you need to define a function that calculates the loss based on your specific requirements. This function is used in the training loop to compute the loss during training.
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