The whole idea behind performing ZCA was to make input less redundant, since most of the adjacent pixels of an image have similar values. It decorrelates the features keeping their variance same. …
Particle swarm is a population-based algorithm. In this respect it is similar to the genetic algorithm. A collection of individuals called particles move in steps throughout a region. At each step,…
Autoencoder is a network that learns to encode itself. The neural network is trained to copy its input at the output layer. In this code, the two autoencoder layers are stacked together and the ove…