What Are Neural Networks?

Neural networks are computational models inspired by the structure and functions of biological neural networks. They are among the most influential algorithms in modern machine learning and artificial intelligence.

Deep Learning and Neural Networks

Deep learning is a subset of machine learning driven by multilayered neural networks whose design is inspired by the structure of the human brain. These networks consist of interconnected nodes or neurons in a layered structure, with an input layer, one or more hidden layers, and an output layer.

Training Neural Networks

Training neural networks involves teaching the model to learn from examples and make predictions or decisions based on that knowledge. This process can range from simple perceptrons to complex deep neural networks.

Types of Neural Networks

There are various types of neural networks, such as artificial neural networks that mimic the human brain, graph neural networks used in social networks and recommendation engines, and more.

Applications of Neural Networks

Neural networks are used in a wide range of applications, including speech recognition, image classification, natural language processing, and more. Their ability to learn from data and make predictions makes them a powerful tool in the field of artificial intelligence.