In artificial intelligence (AI), a neural network is a method that trains computers to analyze data in a manner modeled after the human brain. Deep learning is a type of machine learning (ML) technique that makes use of interconnected nodes or neurons arranged in a layered structure that mimics the structure of the human brain.According to experts, neural networks are important to the ability of contemporary AI systems to deliver high-accuracy, data-driven decisions and predictions because they can modify their weights and biases through iterative learning through training on large datasets, allowing them to generalize from past examples to new scenarios.Neural network applications include facial recognition, handwriting recognition, and medical image analysis.Feedforward neural networks, recurrent neural networks (RNNs), convolutional neural networks (CNNs), and generative adversarial networks (GANs) are examples of common neural network types.
