The epoch denotes the number of passes over the whole training set the machine learning algorithm has performed thus far. While the temperature parameter is often used in the softmax function to make the output distribution more uniform (higher temperature) or more skewed (lower temperature). The temperature parameter takes its name from the Boltzmann distribution from physics.
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