Kouji Nakashima kuc-arc-f

## tfjs_start3-t1-save.html
<!--
tensorflow.js のテスト  ,回帰モデル
https://www.tensorflow.org/js/guide/layers_for_keras_users
 2019/10/09: 学習model 保存のサンプル
--->
<!DOCTYPE html>
<html>
<head>
    <title>TensorFlow.js Tutorial</title>
    <!-- Import TensorFlow.js -->

## tf_test.html
<!DOCTYPE html>
<!--
tensorflow.js 回帰モデルのブラウザ版 テスト
--->
<html lang="ja">
<!-- 日本語 -->
<head>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0/dist/tf.min.js"></script>

## cha_iot_rand.py
# -*- coding: utf-8 -*-

import numpy as np
import chainer
from chainer import cuda, Function, gradient_check, Variable, optimizers, serializers, utils
from chainer import Link, Chain, ChainList
import chainer.functions as F
import chainer.links as L
import time
from matplotlib import pyplot as plt

## test_rnn2-blog.py
# encoding: utf-8

from keras.models import Sequential
from keras.layers.core import Dense, Activation
from keras.layers.recurrent import LSTM
from keras.optimizers import Adam
from keras.callbacks import EarlyStopping

import sys
import numpy as np

## yosoku_update_one.py
# -*- coding: utf-8 -*-
import requests
import json
import time
import sys
import gc
import traceback

import api_func
import com_func

## yosoku_update.service
[Unit]
Description = tesorFlow Learning server

[Service]
ExecStart=/usr/bin/python /usr/local/yosoku_update/yosoku_update.py
Restart=always
Type=simple

[Install]
WantedBy=multi-user.target

## ai_func.py
import tensorflow as tf
import json
from urllib2 import urlopen
import api_func

#ai_func
class ai_funcClass:
	def __init__(self):
		print ""

## yosoku_update.py
#import tensorflow as tf
import json
from urllib2 import urlopen
import datetime
import threading
import time
import sys
import traceback

import api_func

## webhook.py
# -*- coding: utf-8 -*-
# 日本語
from urllib2 import urlopen
import webapp2
import json
import os
import sys
import traceback
import com_func

## gist:c5c9f8230b7265f330933865bc69333e
import tensorflow as tf

if __name__ == "__main__":
	# Model parameters
	W = tf.Variable([0.0], dtype=tf.float32)
	b = tf.Variable([0.0], dtype=tf.float32)
	# Model input and output
	x = tf.placeholder(tf.float32)
	y = tf.placeholder(tf.float32)
	linear_model = W*x + b