Neural Networks

What is a neural network?

A neural network is a computer system that is designed to mimic the way the human brain learns and processes information. Neural networks are made up of a series of interconnected nodes, or neurons, that work together to perform specific tasks, such as recognizing patterns or making predictions. Each node in a neural network receives input from multiple other nodes and passes on its output to even more nodes. This interconnectedness allows neural networks to learn from experience and improve their performance over time. Neural networks are used in a variety of applications, including image recognition, speech recognition, and fraud detection.

There are different types of neural networks, including feedforward and recurrent networks. Feedforward neural networks move information in only one direction, from input to output. Recurrent neural networks, on the other hand, have feedback loops that allow information to be passed back and forth between neurons. This type of neural network is better suited for tasks that require sequential processing, such as language translation or image captioning.

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