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Deep Learning and Robotic Rambles. AI blog by Josh Levy-Kramer.
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Interactive Jensen-Shannon Divergence Visualisation
An interactive visualisation of Jensen-Shannon divergence - the symmetric, always-finite cousin of KL. Shape two distributions and watch JSD, its ceiling of one bit, and the per-point contribution respond in real time.
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Interactive KL Divergence Visualisation
An interactive visualisation of Kullback-Leibler divergence. Shape two distributions and watch forward vs reverse KL, the pointwise integrand, and the effects of asymmetry, support mismatch and discretisation.
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Cross-Entropy Loss (Softmax) Gradient Used In Deep Learning
Obtaining the gradient of the Cross-entropy loss (softmax and negative log-likelihood loss function
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Matrix Inverse, Deriving the Gradient for the Backward Pass
Obtaining the gradient of the matrix inverse
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Einsum, Deriving the Gradient for the Backward Pass
Obtaining the gradient of the matrix inverse
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