Introduction Autoencoders in deep learning are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better understanding, visualizing, and extraction of meaningful information autoencoder nlp.  … Continue reading An introduction to Autoencoders for Beginners