NEURAL NETWORK Kindle Edition

A Neural Network is a computational model inspired by the structure and functioning of the human brain, designed to recognize patterns, learn from data, and make intelligent decisions. It consists of interconnected layers of artificial neurons that process input data, extract features, and produce meaningful outputs through weighted connections and activation functions. Neural networks form the foundation of modern Artificial Intelligence and Deep Learning systems used in applications such as image recognition, speech processing, natural language understanding, recommendation systems, and predictive analytics.The basic architecture of a neural network includes three primary layers: the input layer, hidden layers, and the output layer. The input layer receives raw data, the hidden layers perform complex transformations through nonlinear operations, and the output layer generates the final prediction or classification. Each neuron receives inputs, applies weights and biases, and passes the result through an activation function such as ReLU, Sigmoid, or Softmax to introduce non-linearity and enhance learning capability. Read more