What are 3 examples of neural network? — VoltronAI

Neural networks, also known as artificial neural networks, are a subset of machine learning algorithms inspired by the biological structure and functioning of the human brain. They consist of interconnected nodes, or artificial neurons, that process and transmit information. Neural networks have a wide range of applications in fields such as computer vision, natural language processing, and predictive analytics. In this article, we will discuss three examples of neural networks and their applications.

Convolutional Neural Networks (CNNs)
Convolutional Neural Networks, or CNNs, are a type of neural network commonly used in image and video processing applications. They are designed to recognize patterns and features in visual data by applying a series of filters to the input image. Each filter extracts a specific feature, such as edges, corners, or textures, and passes it on to the next layer. This process is repeated multiple times, with each layer learning more complex features.

CNNs have proven to be highly effective in image recognition tasks such as object detection, facial recognition, and self-driving cars. They are also used in medical imaging applications to detect and diagnose diseases such as cancer.