Understanding Artificial Neural Networks: Architecture, Computation, and Applications
Understanding Artificial Neural Networks: Architecture, Computation, and Applications Artificial Neural Networks (ANNs) are computational models inspired by the structure and function of the human brain. They consist of interconnected nodes, or neurons, organized into layers that process information to solve complex problems. This post delves into the architecture, computational flow, and fundamental principles of ANNs. The Building Block: The Sigmoidal Unit The fundamental unit of an ANN is the sigmoidal unit. A single sigmoidal unit receives multiple inputs (x₁, x₂,…