model_fit_history.py 文件源码

def make_wave(maxlen):
    model = Sequential()
    # conv1
    model.add(Dense(64,input_dim=maxlen, kernel_initializer='he_normal',bias_initializer='zeros' ) )
    model.add(PRELU())
    model.add(Dropout(0.25))

    model.add(Dense(32))
    model.add(PRELU())

    model.add(Dense(8))
    model.add(PRELU())

    model.add(Dense(1))
    model.add(Activation('sigmoid'))

    SGDsolver = SGD(lr=0.1, momentum=0.25, decay=0.0001, nesterov=True)
    model.compile(loss='binary_crossentropy',
                optimizer=SGDsolver,
                metrics=['accuracy'])
    return model