Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
likelihood estimation is that if the model can generate training samples from these latent variables then it can also generate similar samples with some variations. In other words, if we sample a large number of latent variables from P(z) and generate x from these variables then the generated x