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What is the correct loss function for binary classification: Cross entropy or Binary cross entropy?

Binary cross-entropy loss is a specific case for cross-entropy loss. Theoretically, one can also use the normal cross-entropy loss for binary classification. Binary cross-entropy is probably ...
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What's the difference between classification and segmentation in deep learning?

Classification generally refers to the problem of classifying an entire entity. For example, in ImageNet, each image is given a class, regardless of whether the relevant information is only a subset ...
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Can the mean squared error be negative?

I would like to add more information to the @Neil Slater's answer. Andrew sir has used a "generic" graph to show min loss function mean higher performance. That is not always the case, ...
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