Reparameterization trick is used to... Improve model accuracy Deal with the non-differentiability of sampling in VAEs
Answer options
A
Reduce model size
B
None of the given options
C
Speed up training
Correct answer: None of the given options
Explanation
The reparameterization trick in VAEs is used to deal with the non-differentiability of sampling operations, enabling backpropagation through stochastic latent variables by expressing the sample as a deterministic function of the parameters plus separate Gaussian noise. The true answer ('Deal with the non-differentiability of sampling in VAEs') is stated in the question stem but not among the three remaining options [0,1,2], making option [1] 'None of the given options' the correct selection.