Neural Networks
Neural Networks: Neural networks are a type of machine learning algorithm that is loosely inspired by the structure and function of the human brain. A neural network consists of layers of interconnected nodes (also called neurons) that process and transform data. Each node takes in input from the nodes in the previous layer, applies a mathematical transformation to the data, and passes the output to the next layer of nodes. Neural networks are often used for complex tasks such as image and speech recognition, natural language processing, and predictive modeling. There are several different types of neural networks, including feedforward neural networks, recurrent neural networks, and convolutional neural networks. Feedforward Neural Networks: A feedforward neural network is the simplest type of neural network. It consists of an input layer, one or more hidden layers, and an output layer. The input layer takes in the raw data, and the hidden layers apply mathematical transformations t