
Reparameterization trick: z = μ + σ⊙ε
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Reparameterization trick: z = μ + σ⊙ε
Reparameterization trick
Reparameterization trick enables differentiable sampling for VAE training
Batch normalization
Batch normalization formula: Y = (X - μ) / σ * γ + β
convolution (f * g)(t) = ∫f(τ)g(t-τ)dτ
(f * g)(t) = ∫f(τ)g(t-τ)dτ
Variational autoencoder
ELBO formula in variational inference
Stochastic gradient descent
Policy Gradient Theorem Equation
Gradient descent
Gradient descent weight update equation: w := w - α * ∇J(w)
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