Data Science, Big Data, Data Mining, Data, Feature Engineering.
autoencoders consist with two parts. Encoder: takes the input data and compress it, so that to remove all the possible noise and unhelpful information. The output of the Encoder stage is usually called bottleneck or latent-space. Decoder: takes as input the encoded latent space and tries to