SingleShot/n
You can use the <code>Tizen.MachineLearning.Inference.SingleShot<\/code> class, to load the existing neural network model or your own specific model from the storage.\nAfter loading the model, you can invoke it with a single instance of input data. Then, you can get the inference output result.<\/p>\n<\/li>\n<li>\n<p><a href=https://samsungtizenos.com/"pipeline.md/">Pipeline/n
You can use the <code>Tizen.MachineLearning.Inference.Pipeline<\/code> class to manage the topology of data and the interconnection between processors and models.\nUnlike the SingleShot class, you can compose a complex pipeline for changing media format and connecting multiple neural network models in the stream.<\/p>\n<div class=\"md-alert md-alert-note\">\n<span><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"16\" viewBox=\"0 0 16 16\"><path d=\"M0 8a8 8 0 1 1 16 0A8 8 0 0 1 0 8Zm8-6.5a6.5 6.5 0 1 0 0 13 6.5 6.5 0 0 0 0-13ZM6.5 7.75A.75.75 0 0 1 7.25 7h1a.75.75 0 0 1 .75.75v2.75h.25a.75.75 0 0 1 0 1.5h-2a.75.75 0 0 1 0-1.5h.25v-2h-.25a.75.75 0 0 1-.75-.75ZM8 6a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z\"\/><\/svg>Note<\/span>\n<p>This feature is available in the .NET APIs since Tizen 6.0.<\/p>\n<\/div>\n<\/li>\n<\/ul>\n<h2 id=\"content-related-information\"><a href=https://samsungtizenos.com/"#content-related-information\" class=\"heading-permalink\" aria-hidden=\"true\" title=\"Permalink\">\u00b6<\/a>Related information<\/h2>\n<ul>\n<li>\n<p>Dependencies<\/p>\n<ul>\n<li>Tizen 5.5 and Higher<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>API References<\/p>\n<ul>\n<li><a href=https://samsungtizenos.com/"//application//dotnet//api//TizenFX//latest//api//Tizen.MachineLearning.Inference.md/">Tizen.MachineLearning.Inference namespace<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","table_of_content":"<ul class=\"table-of-contents\">\n<li><a href=https://samsungtizenos.com/"#content-related-information\">Related information<\/a><\/li>\n<\/ul>\n","title":"Machine Learning Inference","raw":null},{"class":"App\\Services\\Documentation\\Data\\RenderedMarkdown","s":"wrbl"}]},"memo":{"id":"iETGjMXGc5mdIP0hvWcf","name":"documentation::article","path":"docs\/application\/dotnet\/guides\/machine-learning\/machine-learning-inference","method":"GET","release":"a-a-a","children":[],"scripts":[],"assets":[],"lazyLoaded":false,"lazyIsolated":true,"errors":[],"locale":"en","islands":[]},"checksum":"91dc5f7172de720d82a1aeea60b08291c71aac1427b64aadf1c49106c06d8e72"}" wire:effects="[]" wire:id="iETGjMXGc5mdIP0hvWcf" wire:name="documentation::article" 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