how to interpret categorical cross entropy and categorical accuracy












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When evaluating a multi-class model, How to interpret / identify that your model is performing accurately or works well with the categorical cross entropy and categorical accuracy values? I am teaching myself and is new in learning machine learning/ deep learning because I cannot afford school. Any help would be appreciated. Thanks










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    $begingroup$


    When evaluating a multi-class model, How to interpret / identify that your model is performing accurately or works well with the categorical cross entropy and categorical accuracy values? I am teaching myself and is new in learning machine learning/ deep learning because I cannot afford school. Any help would be appreciated. Thanks










    share|improve this question







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    Rstynbl is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







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      $begingroup$


      When evaluating a multi-class model, How to interpret / identify that your model is performing accurately or works well with the categorical cross entropy and categorical accuracy values? I am teaching myself and is new in learning machine learning/ deep learning because I cannot afford school. Any help would be appreciated. Thanks










      share|improve this question







      New contributor




      Rstynbl is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







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      When evaluating a multi-class model, How to interpret / identify that your model is performing accurately or works well with the categorical cross entropy and categorical accuracy values? I am teaching myself and is new in learning machine learning/ deep learning because I cannot afford school. Any help would be appreciated. Thanks







      machine-learning deep-learning keras multiclass-classification accuracy






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