AI, Machine Learning, Artificial Intelligence, Deep Learning, Data Science.
during training. The KL divergence loss term encourages the encoder to generate an approximate distribution that is close to the true prior distribution, which in turn encourages the decoder to generate more diverse and realistic data points from the latent space. Variational Autoencoders: VAEs are