Learning methods

Full Title

Computing arrangements based on biological models > Neural networks > Learning methods

Classification Context

Section:

PHYSICS

Class:

COMPUTING OR CALCULATING; COUNTING

Subclass:

COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

Related Keywords

Child Classifications

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• G06N 3/082 modifying the architecture, e.g. adding, deleting or silencing nodes or connections
• G06N 3/084 Backpropagation, e.g. using gradient descent
• G06N 3/086 using evolutionary algorithms, e.g. genetic algorithms or genetic programming
• G06N 3/088 Non-supervised learning, e.g. competitive learning
• G06N 3/0895 Weakly supervised learning, e.g. semi-supervised or self-supervised learning
• G06N 3/09 Supervised learning
• G06N 3/091 Active learning
• G06N 3/092 Reinforcement learning
• G06N 3/094 Adversarial learning
• G06N 3/096 Transfer learning
• G06N 3/098 Distributed learning, e.g. federated learning
• G06N 3/0985 Hyperparameter optimisation; Meta-learning; Learning-to-learn