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3 cards from this section. Quick, good the night before a test.
What is the role of hidden layers in a neural network?
Think about how they connect inputs and outputs.
Name one common activation function used in hidden layers.
This function allows only positive values to pass through.
What do hidden layers in a neural network primarily do?
Consider their function within the network.
True or False: The activation function's primary role is to add linearity to the model.
Think about the properties of activation functions.
Calculate how many neurons are needed if you have 5 inputs, 10 neurons in the first hidden layer, and 7 in the output layer, considering each hidden layer needs connections to all neurons.
Consider how each layer connects to the next.
Describe a scenario where using a deeper network with more hidden layers may lead to better model performance. Include potential drawbacks.
Think about the balance between complexity and data overfitting.
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