For Heads-of · Practitioner
Neural Network
A computational model inspired by biological neurons, consisting of interconnected layers of artificial nodes that learn to recognize patterns.
- neural networks
- deep learning
- AI architecture
Structure
Neural networks have input layers (data), hidden layers (feature learning), and output layers (predictions). Connections between nodes have weights that adjust during training.
Deep Learning
Deep neural networks with many hidden layers can learn complex hierarchical representations of data, enabling breakthroughs in image recognition, natural language processing, and other domains.
Governance Considerations
Neural networks are often considered black boxes; their decision-making is difficult to interpret, creating challenges for explainability and accountability requirements.