Neural Networks Algorithms
Neural Networks Algorithms are a set of computational procedures designed to train artificial neural networks to learn and make decisions in a manner similar to the human brain. These algorithms use layers of interconnected nodes, or neurons, to process and analyze complex data patterns, allowing the neural network to recognize images, predict outcomes, and perform various other tasks based on the input data. Some commonly used neural network algorithms include backpropagation, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).