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What is the role of the loss function in a neural network?
Practice Questions
Q1
What is the role of the loss function in a neural network?
To measure the accuracy of predictions
To calculate the gradients for backpropagation
To initialize the weights
To determine the architecture of the network
Questions & Step-by-Step Solutions
What is the role 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 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.
No concepts available.
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