What does the loss value indicate in a neural network?

Correct answer: The error or difference between the model’s prediction and the actual value

The loss value measures how far the model’s predictions are from the expected or actual values. During training, optimization usually aims to reduce this value, although the exact loss measure depends on the task. The number of layers describes the model’s architecture, not its prediction error.