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In a neural network, what is the purpose of the loss function?
Practice Questions
Q1
In a neural network, what is the purpose of the loss function?
To measure the accuracy of predictions
To calculate the gradient
To evaluate model performance
To quantify the difference between predicted and actual values
Questions & Step-by-Step Solutions
In a neural network, what is the purpose of the loss function?
Steps
Concepts
Step 1: Understand that a neural network makes predictions based on input data.
Step 2: Know that these predictions are compared to actual target values (the correct answers).
Step 3: The loss function measures the difference between the predictions and the actual target values.
Step 4: A smaller loss value means the predictions are closer to the actual values, indicating better performance.
Step 5: The goal of training the neural network is to minimize this loss value, improving its accuracy.
No concepts available.
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