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3 cards from this section. Quick, good the night before a test.
What is the function of the input layer in an ANN?
Think about where data enters the network.
What do hidden layers do?
Consider what happens to the data after it enters the input layer.
What is the main purpose of the input layer in an ANN?
Think about the entry point of data into the neural network.
True or False: The more hidden layers a neural network has, the more it can learn complex patterns.
Consider how depth influences learning.
Evaluate how the choice of the number of hidden layers can impact the performance of an ANN in a real-world application.
Consider the implications of complexity in model architecture.
Design a simple ANN architecture for a house price prediction model, detailing the layers involved.
Think about what data would be most relevant for predicting house prices.
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