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所以我基本上从适用于此模型的tensorflow教程中复制了代码：

它试图对神经网络建模以识别“楼梯”形状，如下所示：

_{（来源：gormanalysis.com）}

import numpy as np
import tensorflow as tf
import _pickle as cPickle

with open("var_x.txt", "rb") as fp:   # Unpickling
    var_x = cPickle.load(fp)

with open("var_y.txt", "rb") as fp:   # Unpickling
    var_y = cPickle.load(fp)

# Declare list of features, we only have one real-valued feature
def model_fn(features, labels, mode):

  # Build a linear model and predict values
  W = tf.get_variable("W", [4], dtype=tf.float64)
  b = tf.get_variable("b", [1], dtype=tf.float64)
  y = tf.sigmoid( W*features['x'] + b)
  # Loss sub-graph
  loss …