Term #2,334
Artificial Neural Network (ANN)
Claim Term
Artificial Neural Network (ANN)
Reference Case 1
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Date Added
9/3/25
Created
9/3/25, 8:46 PM
Modified
9/3/25, 8:46 PM
Full Desc
“Artificial Neural Network (ANN)” refers to a parameterized computational architecture comprising layers of interconnected units (neurons) that apply learned weights and nonlinear activation functions to input data. ANNs may be trained by backpropagation (optionally with stochastic gradient methods) and may include components such as convolutional layers, pooling, normalization, attention, and skip connections. ANN families include feedforward, convolutional, recurrent, and transformer-based networks.
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| 71212.157.USU1 | Defined | — | App terms |