Neural Network: Difference between revisions

Latest revision as of 14:30, 8 October 2024

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-A Neural Network in the {{software}} is a pre-trained network that can be used by an [[Inference Overlay]] to classify or detect patterns and features given one or more input [[Overlay]]s.
+#REDIRECT [[Neural Network (Inference Overlay)]]
-Neural Networks are stored in the {{software}} as data [[item]]s with a reference to an [[ONNX]]-file (Open Neural Network Exchange format).
-Input and output for neural networks is handled using data tensors. These tensors are multi-dimensional data arrays. They are automatically identified when selecting or adding a new Neural Network.
-Whether a Neural Network classifies or detects objects given an input depends on its inference model. Such a model consists using AI-software, such as PyTorch.
-{{article end
-|seealso=
-* [[Inference Overlay]]
-* [[ONNX]]
-}}