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What is the purpose of the loss function in a neural network?
Practice Questions
Q1
What is the purpose of the loss function in a neural network?
To measure the accuracy of the model
To quantify the difference between predicted and actual outputs
To optimize the learning rate
To determine the number of layers
Questions & Step-by-Step Solutions
What is the purpose of the loss function in a neural network?
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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