Neural Network

An artificial neural network (ANN) is a type of machine learning model that is inspired by the structure and function of the human brain. ANNs consist of layers of interconnected nodes, called neurons, that process and transmit information. Each neuron receives input from other neurons, performs a computation on that input, and then sends the result to other neurons in the network. The connections between neurons are represented by edges, which have a weight associated with them. These weights determine the strength of the connections between neurons and ultimately affect the output of the network. ANNs can be trained using a variety of techniques, such as backpropagation, to adjust the weights so that the network can perform a desired task. Artificial Neural Network (ANN) is a computational model that is designed to simulate the structure and function of biological neural networks, it can be feedforward or recurrent, and it can have one or multiple layers. It is widely used in various fields such as image and speech recognition, natural language processing, and control systems.