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netreplacepart netstateobject nettake nettrain nettrainresultsobject softmaxlayer threadinglayer related guides machine learning llm related functionality neural network formats optimization computer vision graphs networks tech notes neural networks in the wolfram language related workflow guides specific application areas machine learning functions aggregationlayer attentionlayer convolutionlayer linearlayer llmconfiguration llmprompt llmresourcefunction llmsynthesize netappend netchain netdecoder netencoder netflatten netgraph netinitialize netmeasurements netmodel netport netportgradient netreplace netreplacepart netstateobject nettake nettrain nettrainresultsobject softmaxlayer threadinglayer related guides machine learning llm related functionality neural network formats optimization computer vision graphs networks tech notes neural networks in the wolfram language related workflow guides specific application areas machine learning guide functions aggregationlayer attentionlayer convolutionlayer linearlayer llmconfiguration llmprompt llmresourcefunction llmsynthesize netappend netchain netdecoder netencoder netflatten netgraph netinitialize netmeasurements netmodel netport netportgradient netreplace netreplacepart netstateobject nettake nettrain nettrainresultsobject softmaxlayer threadinglayer related guides machine learning llm related functionality neural network formats optimization computer vision graphs networks tech notes neural networks in the wolfram language related workflow guides specific application areas machine learning functions aggregationlayer attentionlayer convolutionlayer linearlayer llmconfiguration llmprompt llmresourcefunction llmsynthesize netappend netchain netdecoder netencoder netflatten netgraph netinitialize netmeasurements netmodel netport netportgradient netreplace netreplacepart netstateobject nettake nettrain nettrainresultsobject softmaxlayer threadinglayer related guides machine learning llm related functionality neural network formats optimization computer vision graphs networks tech notes neural networks in the wolfram language related workflow guides specific application areas machine learning neural networks topic overview neural networks are a powerful machine learning technique that allows a modular composition of operations layers that can model a wide variety of functions with high execution and training performance neural networks are typically resistant to noisy input and offer good generalization capabilities they are a central component in many areas like image and audio processing natural language processing robotics automotive control medical systems and more the wolfram language offers advanced capabilities for the representation construction training and deployment of neural networks a large variety of layer types is available for symbolic composition and manipulation thanks to dedicated encoders and decoders diverse data types such as image text and audio can be used as input and output deepening the integration with the rest of the wolfram language construction and properties netmodel complete pre trained net models e g from the wolfram neural net repository netgraph symbolic representation of trained or untrained net graphs to be applied to data netchain symbolic representation of a simple chain of layers netmeasurements computes a list of measurements for the net netport netportgradient netstateobject nettrainresultsobject neural network layers linearlayer layer representing a trainable affine transformation convolutionlayer layer representing a trainable convolution operation threadinglayer attentionlayer aggregationlayer softmaxlayer neural network operations nettrain train parameters in a net from examples netreplacepart replace layers or layer properties netinitialize nettake netappend netreplace netflatten encoding decoding data netencoder convert images categories etc to numerical arrays netdecoder interpret numerical arrays as images probabilities etc reinforcement learning environments openaigym access to video games and many other test environments llm access llmconfiguration llmsynthesize llmresourcefunction llmprompt related tech notes neural networks in the wolfram language related workflow guides specific application areas machine learning related guides machine learning llm related functionality neural network formats optimization computer vision graphs networks related links wolfram core areas machine learning give feedback top introduction for programmers introductory book wolfram function repository wolfram data repository wolfram data drop wolfram language products top products wolfram one mathematica ai access compute services system modeler wolfram alpha notebook edition wolfram alpha pro mobile apps wolfram engine wolfram player volume site licensing server deployment options consulting wolfram consulting repositories data repository function repository community paclet repository neural net repository prompt 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