Softmax Function
Softmax Function in machine learning is an activation function that turns logits (numeric output of the last linear layer of a multi-class classification neural network) into probabilities that sum to one.
Understanding the Softmax Function
The softmax function is crucial in multi-class classification problems. It assigns decimal probabilities to each class in a multi-class problem, with the highest probability indicating the predicted class.
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