[WIP] teste com tangente hiperbolica #2
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diegodorgam
commented
Apr 6, 2019
| @@ -55,7 +55,7 @@ | |||
| classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu', input_dim = 11)) | |||
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| # Adding the second hidden layer | |||
| classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu')) | |||
| classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'tanh')) | |||
| @@ -55,7 +55,7 @@ | |||
| classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu', input_dim = 11)) | |||
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| # Adding the second hidden layer | |||
| classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu')) | |||
| classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'tanh')) | |||
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| # Adding the output layer | |||
| classifier.add(Dense(units = 1, kernel_initializer = 'uniform', activation = 'sigmoid')) | |||
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seria bom mudar aqui também
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Estou trocando minha função de ativação por uma TanH, mas a matriz de confusão não melhorou...