Deep Learning, Autoencoder, Python Programming, Keras, Technology.
also be something different. When autoencoders are used to reconstruct inputs from an encoded state. For example, autoencoders are learned for noise removal, but also for dimensionality reduction (Keras Blog, n.d.; we then use them to convert the input data into low-dimensional format, which might