Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Deep Learning
Artificial Neural Network (ANN)
A computational model inspired by the way biological neural networks function.
Training Techniques
Backpropagation
An algorithm used for training neural networks by calculating gradients of the loss function.
Deep Learning
Batch Normalization
A technique to improve training speed and stability in deep neural networks by normalizing the inputs of each layer.
Machine Learning
Deep Learning
A subfield of machine learning that uses neural networks with many layers.
Regularization
Dropout
A regularization technique used to prevent overfitting in neural networks by randomly deactivating a fraction of neurons during training.
Machine Learning
Neural Network
A computational model inspired by the way biological neural networks in the human brain work.
hybrid AI
neural-symbolic-integration
A hybrid approach that combines neural networks with symbolic reasoning.