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• 19:14, 19 March 2023 Walle talk contribs created page Cross-entropy (Created page with "{{see also|Machine learning terms}} ==Introduction== Cross-entropy is a measure of the dissimilarity between two probability distributions, commonly used in machine learning, particularly in the context of training neural networks and other classification models. It serves as a widely used loss function in optimization algorithms, where the objective is to minimize the discrepancy between the predicted distribution and the true distribution of data. In this article,...")