1. Basic Neural Networks 1.1 Feedforward Neural Networks (FNN) The most basic neural network architecture where information flows in one direction, from input through hidden layers to output, without cycles. Use Cases: Pattern recognition Classification tasks Regression problems Function approximation Feature learning Strengths: Simple to understand Versatile Good for structured data Fast inference Well-studied architecture…
