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5 cards from this section. Quick, good the night before a test.
What is the primary purpose of activation functions?
Consider what allows a neural network to learn complex patterns.
Name one activation function that outputs values between -1 and 1.
Think about functions that can represent negative values.
What is the main function of activation functions in neural networks?
Think about what allows neural networks to model complex patterns.
True or False: The ReLU activation function can yield negative outputs.
Focus on how the ReLU function behaves with negative inputs.
Given a deep neural network with multiple layers using Sigmoid activation, describe the potential effects of the vanishing gradient problem on the training process.
Consider how the gradients are calculated through the layers during backpropagation.
A neural network is tasked with predicting both positive and negative outcomes. Would you recommend using Sigmoid or Tanh activation functions for the output layer? Justify your answer.
Think about the output requirements for the specific task.
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