January 2019
Intermediate to advanced
390 pages
9h 16m
English
From Chapter 4, Deep Learning for IOT, you should be familiar with autoencoders and their functions. VAEs are a type of autoencoder; here, we retain the (trained) Decoder part, which can be used by feeding random latent features z to generate data similar to the training data. Now, if you remember, in autoencoders, the Encoder results in the generation of low-dimensional features, z:

The VAEs are concerned with finding the likelihood function p(x) from the latent features z:

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