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📚TheoryAdvanced

Rate-Distortion Theory

Rate–distortion theory tells you the minimum number of bits per symbol needed to represent data while keeping average distortion below a target D.

#rate-distortion#mutual information#blahut-arimoto+12
📚TheoryIntermediate

Shannon Entropy

Shannon entropy quantifies the average uncertainty or information content of a random variable in bits when using base-2 logarithms.

#shannon entropy
Advanced
Filtering by:
#binary entropy
#information gain
#mutual information
+12
📚TheoryIntermediate

Information Theory

Information theory quantifies uncertainty and information using measures like entropy, cross-entropy, KL divergence, and mutual information.

#entropy#cross-entropy#kl divergence+12