IntroductionProblem CategoriesLoss Functions, Accuracy, and Error RatesDifferent Loss Functions, Same ArchitectureUsing TensorBoardImplementing Model Evaluation MetricsEvaluating the Bitcoin ModelOverfittingModel PredictionsInterpreting PredictionsExercise 3.01: Creating an Active Training EnvironmentHyperparameter OptimizationLayers and Nodes – Adding More LayersAdding More NodesLayers and Nodes – ImplementationEpochsEpochs – ImplementationActivation FunctionsLinear (Identity) FunctionsHyperbolic Tangent (Tanh) FunctionRectified Linear Unit FunctionsActivation Functions – ImplementationRegularization StrategiesL2 RegularizationDropoutRegularization Strategies – ImplementationOptimization ResultsActivity 3.01: Optimizing a Deep Learning ModelSummary