saitodev

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)

saitodev

// -*- 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>

saitodev

#!/bin/sh
#
# Startup script for the Supervisor server
#
# chkconfig:   - 90 10
# description: Supervisor is a client/server system that allows its users to \
#              monitor and control a number of processes on UNIX-like \
#              operating systems.
#
# processname: supervisord

saitodev

#!/bin/bash -eu
# -*- coding: utf-8 -*-

HEADER_DIR=/tmp/tensorflow/include

if [ ! -e $HEADER_DIR ];
then
    mkdir -p $HEADER_DIR
fi

saitodev

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]))

saitodev

#!/bin/sh
# -*- coding: utf-8 -*-

IPTABLES=/sbin/iptables
SERVICE=/sbin/service

SSH_PORT=22

$IPTABLES -F                                                        # すべてのチェインの内容を削除
$IPTABLES -P INPUT   ACCEPT                                         # INPUTチェインのポリシーをACCEPTにする

saitodev

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
from tensorflow.python.framework.graph_util import convert_variables_to_constants

def train_and_save():
  x = tf.placeholder(tf.float32, [None, 784], name='x')

saitodev

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 import_graph_def():
  with open('trained_graph.pb', 'rb') as f:
    graph_def = tf.GraphDef()

saitodev

#!/bin/bash
# -*- coding: utf-8 -*-

PLAYER_URL='http://radiko.jp/player/swf/player_4.1.0.00.swf'

wget $PLAYER_URL -O player.swf
swfextract -b 14 -o authkey.png player.swf
rm -f player.swf

saitodev

C:\cygwin\bin\bash.exe -c "/usr/bin/ssh-agent | /usr/bin/sed -e '/echo/d' | /usr/bin/cut -f 1 -d ';' | /usr/bin/tr '=' ' ' | while read line; do setx.exe $line; done;"