Dear Wisam Mohammed Abed Alqaraghuli ,

A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

eural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

https://www.ibm.com/topics/neural-networks

https://aws.amazon.com/ru/what-is/neural-network/#:~:text=A%20neural%20network%20is%20a,that%20resembles%20the%20human%20brain.

Regards,

Shafagat

A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

Neural networks are a type of machine learning algorithm that are based on the structure and function of the human brain. They are composed of interconnected nodes, or “neurons,” that process and transfer information by adjusting the strengths of the connections between them.

Neural networks can be trained on large datasets to recognize patterns and make predictions or decisions based on that data. They are used in a wide range of applications, from image and speech recognition to natural language processing and autonomous systems.

Neural networks are a key component of artificial intelligence (AI), which refers to the development of computer systems that can perform tasks that typically require human intelligence, such as perception, problem-solving, decision-making, and natural language understanding. Neural networks are one of many machine learning techniques used in AI, along with other approaches such as decision trees, support vector machines, and deep learning.

The use of neural networks in AI has led to significant advancements in many fields, including robotics, healthcare, finance, and transportation. Neural networks are particularly effective in complex, high-dimensional tasks such as image and speech recognition, where traditional rule-based approaches may be less effective.

Overall, neural networks are a powerful tool for building intelligent systems that can learn from data and make complex decisions. They are a key component of the broader field of AI, which continues to evolve and find new applications in a wide range of industries and domains.