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How are the parameters of a VAE trained?
The parameters of a VAE are trained via two loss functions: a reconstruction loss that forces the decoded samples to match the initial inputs, and a regularization loss that helps learn well-formed latent spaces and reduce overfitting to the training data. The regularization loss is handled with the Kullback-Liebler Divergence.
Which is the latent variable in a VAE?
So, step by step — Each data point in a VAE would get mapped to mean and log_variance vectors which would define the multivariate normal distribution around that input data point. A point is sampled from this distribution and is returned as the latent variable. This latent variable is fed to the decoder to produce the output.
Why do we use the reparameterization trick in VAE?
This is because we backpropagate the gradients of the loss function ultimately and the“reparameterization” trick actually helps in the backpropagation process when happening in a VAE. Recall from the above section that a VAE is trying to learn a distribution for the latent space.
How to calculate gradients in VAE using backpropagation?
VAE using backpropagation, we need to consider that the sampling node inside is stochastic in nature. We can compute the gradients of the sampling node with respect to the mean and log-variance vectors (both the mean and log-variance vectors are used in the sampling layer).
Do you enter minimum PEEP in VAE calculator?
Likewise, when using the online VAE Calculator, do not enter a daily minimum PEEP value on days when the patient was on APRV for the entire calendar day. Leave the PEEP field in the VAE Calculator empty/blank for these days (DO NOT ENTER ZERO).
When to use a ventilator associated ( VAE ) event?
VAE: This event is available for in-plan surveillance of mechanically ventilated inpatients in adult locations only (regardless of the age of the patient). PedVAP: This event uses the PNEU protocol and is available for in-plan surveillance of mechanically ventilated inpatients in pediatric locations only (regardless of the age of the patient).