👉 Ungeneralized, also known as a generative model, is a type of machine learning algorithm where the input data is not generated by any specific function or formula. Instead, it's an artificial neural network (ANN) that learns from training data to produce outputs without explicit control over the parameters of the network. An example of ungeneralized models could be a simple feedforward neural network, which has no hidden layers and only one output layer. It is not designed to perform any specific
