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How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com
Santiago on Twitter: "The loss is categorical cross-entropy. In English: we want to predict a single class for each image. By adding "accuracy" to the metrics, the training process will record the
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How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com
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How to Choose Loss Functions When Training Deep Learning Neural Networks - MachineLearningMastery.com
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classification - How to prepare data for input to a sparse categorical cross entropy multiclassification model - Cross Validated
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