Representation Learning, Autoencoder, Self Supervised Learning, Machine Learning, Artificial Intelligence.
Representation learning is a method of training a machine learning model to discover and learn the most useful representations of input data automatically. These representations, often known as “features”, are internal states of the model that effectively summarize the input data, which help the