👉 Enrooted is a term used in computer science and artificial intelligence, which refers to a specific type of neural network architecture that utilizes a special kind of activation function. This activation function is called "enrooted" because it enables the network to learn from both positive and negative examples through the use of a positive feedback loop. Enrooted networks are particularly useful in tasks such as image classification, where they can significantly improve model performance by allowing for more robust learning and adaptation to new data. They