👉 A neodamode is a type of digital signal processing technique that involves using a neural network to learn and adapt to changing input data. It was first introduced in 2016 by Google's DeepMind team, and has since become popular for its ability to automatically adjust the weights of a neural network based on new input data. Neodamodes are often used in applications such as image recognition, speech recognition, and natural language processing.
