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The Poisson loss is one of the deep learning losses that is used in the regression. please look at to this https://github.com/keras-team/keras/blob/master/keras/losses.py#L86
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How to measure the quality of feature extracted from two neural networks?
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which one of losses in Keras library can be used in deep learning multi-class classification problems? whats differences in design and architect in a deep model or the last layer activation?
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Which metric is valuable for that?
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