What is a Neural Network?

A Neural Network is a computing system inspired by biological neural networks that constitute animal brains. It consists of interconnected nodes (neurons) that process information by responding to external inputs and relaying information between each node.

When to use Neural Networks?

Use Neural Networks for pattern recognition, classification, regression, and complex data analysis tasks. They're particularly effective for image recognition, speech processing, and any application requiring the identification of complex patterns in data.

When not to use Neural Networks?

Avoid Neural Networks when you have small datasets, need highly interpretable results, or when simpler algorithms can achieve similar performance. They're also not suitable when you have limited computational resources or need fast training times.

What is the importance of Neural Networks?

Neural Networks form the foundation of modern AI and deep learning, enabling computers to learn complex patterns and make intelligent decisions. They're essential to breakthrough AI applications across various domains.