tensorflow-解决3个问题

问题一：对特征归一化

Min-Max Scaling:
X′=a+(X?Xmin)(b?a)/(Xmax?Xmin)

# Problem 1 - Implement Min-Max scaling for grayscale image data
def normalize_grayscale(image_data):
    """
    Normalize the image data with Min-Max scaling to a range of [0.1, 0.9]
    :param image_data: The image data to be normalized
    :return: Normalized image data
    """
    # TODO: Implement Min-Max scaling for grayscale image data
    a = 0.1
    b = 0.9
    grayscal_min=0
    grayscal_max=255
    return a + (((image_data-grayscal_min)*(b-a))/(grayscal_max-grayscal_min))

问题二：用 TensorFlow 创建特征、目标、权重和偏置项 tensor。

问题三：调整学习率，epochs 和 batch size 来获取最高准确率