AI Glossary & Dictionary for “N”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “N”:
Naïve Bayes: A simple probabilistic classifier based on Bayes’ theorem assuming independence among features.
Named Entity Recognition: Identifying and classifying proper nouns (people, organizations, locations) in text.
Natural Language Generation or NLG: Using AI to generate natural language text from structured data or prompts.
Natural Language Processing or NLP: Techniques and models that allow computers to understand, interpret and generate human language.
Neural Architecture Search: Automated methods for designing neural network architectures tailored to specific tasks.
Neural Network: A collection of interconnected nodes that process inputs and learn to make predictions or decisions.
Neural Style Transfer: A technique that applies the artistic style of one image to the content of another, useful in creative marketing.
No‑Code Tools: Platforms that enable building AI‑powered applications or workflows through visual interfaces without writing code.
Noise Injection: Adding noise to inputs or weights during training to improve model robustness.
Non‑Parametric Model: A model that makes fewer assumptions about the data distribution and can adapt to complex patterns.
Normalization: Scaling data values to a standard range or distribution to improve learning stability.
Numerical Stability: The property of algorithms to produce consistent results despite rounding errors and finite precision.
This concludes the AI Glossary & Dictionary for “N”.