We often use ICA or PCA to extract features from the high-dimensional data. The autoencoder is another interesting algorithm to achieve the same purpose in the context of Deep Learning. With the purpose of learning a function to approximate the input data itself such that F(X) = X, an autoencoder consists of two parts, namely …