An autoencoder is a specific type of neural network. The main disadvantage of using a neural ... Common use-cases include data visualization in a 2D graph (if the data is reduced to just two columns ...

An autoencoder is a neural network that learns to predict its input ... The label data is used only for visualization. After training, you'll usually want to save the model but that's a bit outside ...