What is the role of the loss function in a neural network?

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Question: What is the role of the loss function in a neural network?

Options:

Correct Answer: To calculate the gradients for backpropagation

Solution:

The loss function quantifies how well the neural network\'s predictions match the actual target values, guiding weight updates.

What is the role of the loss function in a neural network?

What is the role of the loss function in a neural network?

Step 1: Understand that a neural network makes predictions based on input data.
Step 2: Know that the actual target values are the correct answers we want the network to predict.
Step 3: The loss function measures the difference between the network's predictions and the actual target values.
Step 4: A smaller loss value means the predictions are closer to the actual values, while a larger loss means they are further away.
Step 5: The loss function helps the neural network learn by guiding how to adjust its internal parameters (weights) to improve predictions.

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