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Nov 3, 2026
Learning Through Information Forces: Five Visual ITL Experiments
How can a kernel function turn information-theoretic quantities into forces that guide learning? In a new interactive article, I explore the mathematics of Information-Theoretic Learning (ITL), drawing on José C. Principe’s Information Theoretic Learning: Rényi’s Entropy and Kernel Perspectives (2010).
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Dec 24, 2015
Neural Network: Forward and Backward Pass, Example
We'll calculate forward and backward pass -
Dec 9, 2015
NOTES ON C3D
We'll generate C3D features on our own datasets