IPC Subgroup
G06N 3/08 Learning methods
Introduced: January 2000
Last revised: January 2023
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
COMPUTER(S) learning methods using neural network models
12 direct subcodes
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