Cross-Entropy Loss for Classification
Understand cross-entropy loss for classification: interactive demos of binary and multi-class CE, the -log(p) curve, softmax gradients, and focal loss.
15 min readConcept
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Information Theory
Explore machine learning concepts related to Information Theory. Clear explanations and practical insights.
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Concepts Related to Information Theory
Visual Complexity Analysis for Token Allocation
Learn how visual complexity analysis optimizes vision transformer token allocation using edge detection, FFT, and entropy metrics.
15 min readConcept
KL Divergence in Machine Learning
Learn KL divergence for machine learning: measure distribution differences in VAEs, knowledge distillation, and variational inference.
7 min readConcept