Softmax Temperature Scaling

This animation demonstrates how increasing the temperature parameter flattens probability distributions, causing the model to assign more similar confidence scores to related classes. By dividing the internal scores by a higher temperature, the graph visually shows these gaps shrinking as hidden relationships between categories become more apparent.