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4 cards from this section. Quick, good the night before a test.
What is the purpose of an activation function in a neural network?
Think about how a neuron decides to process input.
Name one activation function.
Consider common functions used in neural networks.
What is the output of the Sigmoid activation function?
Think about binary outcomes.
True or False: ReLU can produce negative outputs.
What does ReLU do to negative values?
Design a neural network with at least three layers using different activation functions. Describe the role of each activation function.
Think about how each layer's function transforms the data as it passes through.
Explain why using only Sigmoid for deep networks can lead to poor learning results.
Consider how gradients behave with rounded outputs.
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