相同的数据分为培训、开发和测试集

Question

我很难在下面的函数中的每次迭代中都有相同的数据分割

def data(filename):

    X_train = data('train-images.gz')
    Y_train = data('train-labels.gz')
    X_test = data('t10k-images.gz')
    Y_test = data('t10k-labels.gz')

    X_train, X_devel = X_train[:, :-devel_size], X_train[:, -devel_size:]
    Y_train, Y_devel = Y_train[:-devel_size], Y_train[-devel_size:]

    return X_train, Y_train, X_devel, Y_devel, X_test, Y_test

我如何将相同的数据拆分到培训&；当我调用上述函数时，是否对其进行验证

原因是，我想用几种优化技术重新运行函数，并比较精度

Answer 1

设置随机种子

tf.random.set_seed(1)
np.random.seed(1)