Machine Learning, Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Science.
to a dense format and then reconstruct the original signal. By doing this Autoencoders learn a problem specific lossy data compression that can be helpful for feature extraction or data reduction. Example 2: Image Super-Resolution Another example is image super-resolution where we upscale an image