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dc.contributor.authorMcCaffrey, Jamesen_US
dc.date.accessioned2017-06-09T07:39:57Z
dc.date.available2017-06-09T07:39:57Z
dc.date.issued2014en_US
dc.identifier.otherHPU4160794en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/24916
dc.description.abstractNeural networks are an exciting field of software development used to calculate outputs from input data. While the idea seems simple enough, the implications of such networks are staggering—think optical character recognition, speech recognition, and regression analysis. With Neural Networks Using C# Succinctly by James McCaffrey, you'll learn how to create your own neural network to solve classification problems, or problems where the outcomes can only be one of several values. Learn about encoding and normalizing data, activation functions and how to choose the right one, and ultimately how to train a neural network to find weights and bias values that provide accurate predictionsNeural networks are an exciting field of software development used to calculate outputs from input data. While the idea seems simple enough, the implications of such networks are staggering—think optical character recognition, speech recognition, and regression analysis. With Neural Networks Using C# Succinctly by James McCaffrey, you'll learn how to create your own neural network to solve classification problems, or problems where the outcomes can only be one of several values. Learn about encoding and normalizing data, activation functions and how to choose the right one, and ultimately how to train a neural network to find weights and bias values that provide accurate predictionsen_US
dc.format.extent128 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherSyncfusion Inc.en_US
dc.subjectData Scienceen_US
dc.subjectNeural Networksen_US
dc.subjectC# Succinctlyen_US
dc.subjectPerceptronsen_US
dc.titleNeural Networks Using C# Succinctlyen_US
dc.typeBooken_US
dc.size1.87Mben_US
dc.departmentTechnologyen_US


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