👉 Hypernotions is a concept in the field of artificial intelligence and machine learning, which refers to a type of neural network architecture that uses a large number of hidden layers instead of one. This allows for more complex models with multiple decision-making processes, making it possible to learn from diverse data sources and make predictions based on a wide range of inputs. Hypernotions is often used in deep learning applications where the input data is too large or sparse to be handled by traditional neural networks directly. Instead,
