Understanding Artificial Neural Networks: Architecture, Computation, and Graph Representation
Understanding Artificial Neural Networks: Architecture, Computation, and Graph Representation Artificial Neural Networks (ANNs) are computational models inspired by the biological neural networks that constitute animal brains. Their power lies in their ability to learn complex patterns and functions from data. This post delves into the fundamental architecture of ANNs, focusing on their graph representation and computational flow. The Building Block: The Sigmoidal Unit At the heart of an ANN lies the sigmoidal unit. This unit receives multiple inputs (x1, x2,…