Deep Learning, Autoencoder, Python Programming, Keras, Technology.
how they work. This includes a discussion on why they can be applied to noise removal. Then, we implement an autoencoder to demonstrate this, by means of a three-step process: We generate a large dataset of x² samples. We generate a large dataset of x² samples to which Gaussian (i.e., random) noise