小编sur*_*erf的帖子

我建立了一个神经网络，该网络的性能相当好，我想在非Python环境中复制我的模型。我的网络设置如下：

sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32, shape=[None, 23])
y_ = tf.placeholder(tf.float32, shape=[None, 2])
W = tf.Variable(tf.zeros([23,2]))
b = tf.Variable(tf.zeros([2]))
sess.run(tf.initialize_all_variables())
y = tf.nn.softmax(tf.matmul(x,W) + b)

如何获得我的权重和偏见可解译的.csv或.txt？

编辑：以下是我的完整脚本：

import csv
import numpy
import tensorflow as tf

data = list(csv.reader(open("/Users/sjayaram/developer/TestApp/out/production/TestApp/data.csv")))
[[float(j) for j in i] for i in data]
numpy.random.shuffle(data)
results=data

#delete results from data
data = numpy.delete(data, [23, 24], 1)
#delete data from results
results = numpy.delete(results, range(23), 1)

sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32, shape=[None, 23])
y_ = tf.placeholder(tf.float32, …