deep-learning
Cross-entropy, as a comparison of two distributions
taught
Taught in
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Cross-entropy: comparing your guess to the truth
Deep Learning / Neural Networks
Requires
- surprise-and-entropy required
Required by
- Binary cross-entropy required
- Categorical cross-entropy required
- KL divergence required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.