Neural Network: Difference between revisions

Latest revision as of 14:30, 8 October 2024

Redirect to:

@@ Line 1: / Line 1: @@
-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<ref name="ONNX"/>). Multiple type of neural networks<ref name="Cheatsheet"/> are supported.
-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]]
-* [[PyTorch]]
-}}
-==References==
-<references>
-<ref name="ONNX">ONNX ∙ found at: https://onnx.ai/ (last visited: 2024-09-21)</ref>
-<ref name="Cheatsheet">Cheatsheet ∙ found at: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks (last visited: 2024-09-21)</ref>
-</references>