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// -*- coding: utf-8 -*- | |
#include <iostream> | |
#include <fstream> | |
#include <memory> | |
#include <vector> | |
#include <cassert> | |
#include <cstdint> | |
#include <boost/iostreams/filtering_stream.hpp> | |
#include <boost/iostreams/filter/gzip.hpp> |
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from __future__ import print_function | |
from tensorflow.examples.tutorials.mnist import input_data | |
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True) | |
import tensorflow as tf | |
def weight_variable(shape): | |
initial = tf.truncated_normal(shape, stddev=0.1) | |
return tf.Variable(initial) |
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from __future__ import print_function | |
from tensorflow.examples.tutorials.mnist import input_data | |
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True) | |
import tensorflow as tf | |
x = tf.placeholder(tf.float32, [None, 784]) | |
W = tf.Variable(tf.zeros([784, 10])) |
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