Activation Functions: Introduce non-linearity into the model, enabling it to learn complex patterns that cannot be captured by linear models. Common activation functions include sigmoid, ReLU (Rectified Linear Unit), and tanh (Hyperbolic Tangent).
Activation Functions: Introduce non-linearity into the model, enabling it to learn complex patterns that cannot be captured by linear models. Common activation functions include sigmoid, ReLU (Rectified Linear Unit), and tanh (Hyperbolic Tangent).
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