Deep Learning 面接の質問と回答
Question: What is the role of the activation function in a neural network's hidden layers?Answer: The activation function introduces non-linearity to the neural network, enabling it to learn complex patterns. Common activation functions include sigmoid, hyperbolic tangent (tanh), and rectified linear unit (ReLU). They allow the network to capture and model more intricate relationships in the data. |
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- Explain the purpose of an activation function in a neural network.
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