Neural networks are a cornerstone of modern artificial intelligence, inspired by the human brain's structure and function. They consist of layers of interconnected nodes (neurons) that process data through weighted connections. Here's a quick breakdown:

Key Concepts

  • Layers: Input, hidden, and output layers.
  • Activation Functions: Non-linear transformations like ReLU or Sigmoid.
  • Training: Adjusting weights via backpropagation and optimization algorithms.
Neural Network Structure

Applications

  • Image Recognition: Identifying objects in photos.
  • Natural Language Processing: Understanding text and speech.
  • Predictive Analytics: Forecasting trends in data.
AI Application Illustration

For deeper insights, explore our guide on Artificial Intelligence Fundamentals. 🚀