Activation functions determine the output of a neural network node, introducing non-linearity into the model. They are crucial for enabling networks to learn complex patterns.
Inside Activation Functions (1)
Sigmoid — The sigmoid function is an activation function that maps input values to a range between 0 and 1, often used in binary classification.
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