Autoencoders are a type of neural network used for unsupervised learning. They learn to reconstruct input data by encoding it into a lower-dimensional latent space and then decoding it back to the ...

Generative Modeling is a branch of machine learning that focuses on creating models representing distributions of data, denoted as $P(X)$. $X$ represents the data ...