Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
autoencoder is performing. The goal is to minimize this loss, making the output as close as possible to the input. Real-World Example Imagine you have a collection of photos of your friends. Autoencoders can take these photos and compress them into a smaller size while keeping the key features.