test.py 文件源码

 复制代码def xtest_net(self):

        input_shape = (28,28,1)

        model = Sequential()
        model.add(MaxPooling2D(pool_size=(3,3), input_shape = input_shape))
        print("----->", model.layers[-1].output_shape)
        model.add(MaxPooling2D(pool_size=(3,3)))
        print("----->", model.layers[-1].output_shape)
        model.add(MaxPooling2D(pool_size=(3,3)))
        print("----->", model.layers[-1].output_shape)

        if model.layers[-1].output_shape[1] >= 2 and model.layers[-1].output_shape[2] >= 2:
            model.add(MaxPooling2D(pool_size=(2,2)))
            print("----->", model.layers[-1].output_shape)
        model.add(Flatten())

        #model.add(Convolution2D(20, 5, 5, border_mode='same'))
        #model.add(MaxPooling2D(pool_size=(2,2)))
        #model.add(MaxPooling2D(pool_size=(2,2)))
        #model.add(MaxPooling2D(pool_size=(2,2)))
        #model.add(Flatten())

        model.summary()