Unsupervised Learning

The AutoEncoders are a classic example of an unsupervised learning technique that utilizes artificial neural networks in representation learning. They are among the earliest deep learning methods considered as the building blocks in deep hyperspectral image analysis. The Mechanics of Training AutoEncoders A simple autoencoder is a feed-forward, non-recurrent neural network with three layers, i.e.,…