test6.py 文件源码

def create_model(dropout_rate=0.0, weight_constraint=0):
    # create model
    model = Sequential()
    model.add(Dense(12, input_dim=8, init='uniform', activation='softplus', W_constraint=maxnorm(weight_constraint)))
    model.add(Dropout(dropout_rate))
    model.add(Dense(1, init='uniform', activation='sigmoid'))
    # Compile model
    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
    return model
# fix random seed for reproducibility