The sigmoid function is a mathematical function that maps any real-valued number into the range between 0 and 1, creating an S-shaped curve. This characteristic makes it particularly useful in neural networks for modeling probabilities and ensuring smooth gradients during training. The sigmoid function helps to introduce non-linearity in the model, allowing neural networks to learn complex patterns in the data.
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