models.py 文件源码

def ann(input_shape, n_classes, layers=2, neurons=80, dropout=0.35 ):
    """
    for working with extracted features
    """
    model = Sequential(name='ann')
    for l in range(layers):
        model.add(Dense (neurons, input_shape=input_shape, activation='elu', kernel_initializer='he_normal'))
        model.add(BatchNormalization())
        model.add(Dropout(dropout))
    model.add(Dense(n_classes, activation = 'softmax'))
    model.compile(loss='categorical_crossentropy', optimizer=Adam(), metrics=[keras.metrics.categorical_accuracy])
    return model