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In a neural network, what is the purpose of the output layer?
Practice Questions
Q1
In a neural network, what is the purpose of the output layer?
To process input data
To apply activation functions
To produce the final predictions
To adjust learning rates
Questions & Step-by-Step Solutions
In a neural network, what is the purpose of the output layer?
Steps
Concepts
Step 1: Understand that a neural network has multiple layers, including an input layer, hidden layers, and an output layer.
Step 2: Know that the output layer is the last layer in the neural network.
Step 3: Realize that the output layer takes the information processed by the previous layers.
Step 4: Learn that the output layer's job is to generate the final predictions or results based on that processed information.
Step 5: Remember that the predictions can be in different forms, like a single value, a class label, or probabilities, depending on the task.
No concepts available.
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