GTSRB Model-4

            base_model = VGG19(include_top=False, input_tensor=input_tensor)

            x = base_model.output
            x = GlobalAveragePooling2D()(x)
            x = Dense(512, activation='relu')(x)
            predictions = Dense(num_class, activation='softmax')(x)
            model = Model(inputs=base_model.input, outputs=predictions)

            model.compile(optimizer=optimizers.SGD(lr=0.0001, momentum=0.9),
                          loss='categorical_crossentropy', metrics=['accuracy'])