What Are Neural Networks

Neural Networks: An Introduction

What are Neural Networks?

Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning that mimic the complex functions of the human brain. They are composed of interconnected units called neurons, which send signals to each other.

How Neural Networks Work

Neurons in a neural network can be either biological cells or artificial units. Each neuron receives input from other neurons and processes it using a mathematical function. The output of the neuron is then sent to other neurons in the network.

Neural networks are trained by providing them with a set of input data and the corresponding output data. The network adjusts its internal parameters to minimize the error between its predictions and the actual output data.

Applications of Neural Networks

Neural networks have a wide range of applications, including:

• Image recognition
• Natural language processing
• Speech recognition
• Predictive analytics
• Medical diagnosis
• Financial forecasting

Conclusion

Neural networks are a powerful tool that can be used to solve a wide range of problems. They are still under development, but they have the potential to revolutionize many industries.