Definition
A Neural Network is a machine learning model inspired by the human brain, consisting of interconnected nodes (neurons) that process information through layers to learn patterns and make predictions.
Key Concepts:
• Learns from data - Improves through examples
• Pattern recognition - Finds hidden relationships
• Adaptive - Adjusts to new information
• Non-linear - Handles complex problems
Brain-Inspired Computing
Just like the brain has billions of neurons connected by synapses, artificial neural networks have nodes connected by weighted edges that transmit signals.