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<h1 id="introducing-tensorflow-">Introducing TensorFlow !!</h1>

<h5 id="tensorflow-이해">(TensorFlow 이해)</h5>

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<h1 id="agenda">Agenda</h1>

<ol>
  <li>Introduction</li>
  <li>Deep-dive</li>
  <li>…</li>
</ol>

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<h1 id="introduction">Introduction</h1>

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<h1 id="introducing-tensorflow--1">Introducing TensorFlow !!</h1>
<h5 id="tensorflow-이해-1">(TensorFlow 이해)</h5>

<p><strong>Table of Learning</strong></p>

<table>
  <thead>
    <tr>
      <th style="text-align: right">No</th>
      <th style="text-align: center">Titile</th>
      <th style="text-align: center">Educational Istitution</th>
      <th style="text-align: center">Term</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td style="text-align: right">1</td>
      <td style="text-align: center"><a href="/Lecture/TensorFlow">텐서플로우 딥러닝 인공지능 개발</a></td>
      <td style="text-align: center">IT이젠아카데미</td>
      <td style="text-align: center">18.8.4~9.1</td>
    </tr>
    <tr>
      <td style="text-align: right">2</td>
      <td style="text-align: center"><a href="/Lecture/MachineLearning">기계학습의이해</a></td>
      <td style="text-align: center">서울대학교 도시연구소</td>
      <td style="text-align: center">18.9.10~9.14</td>
    </tr>
    <tr>
      <td style="text-align: right">3</td>
      <td style="text-align: center"><a href="/Lecture/DeepLearning">Deep Learning의 이해</a></td>
      <td style="text-align: center">서울대학교 도시연구소</td>
      <td style="text-align: center">18.9.17~9.21</td>
    </tr>
  </tbody>
</table>

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<h2 id="overview">Overview</h2>

<blockquote>
  <p>텐서플로(TensorFlow)는 다양한 작업에대해 데이터 흐름 프로그래밍을 위한 오픈소스 소프트웨어 라이브러리이다. <br />
<small> <em>텐서플로는 2015년에 오픈 소스로 공개된 을 수행하게 하는 CUDA 확장기능을 사용 구동될 수 있다.</em> </small></p>
</blockquote>

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<h2 id="contents">Contents</h2>

<ul>
  <li><strong>Table of Contents</strong></li>
</ul>

<table>
  <thead>
    <tr>
      <th style="text-align: right">No</th>
      <th style="text-align: center">Titile</th>
      <th style="text-align: left">Remarks</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td style="text-align: right">0</td>
      <td style="text-align: center"><a href="#install">환경설정</a></td>
      <td style="text-align: left">환경설정</td>
    </tr>
    <tr>
      <td style="text-align: right">1</td>
      <td style="text-align: center"><a href="#Tensorflow">Tensorflow</a></td>
      <td style="text-align: left">Tensorflow 소스</td>
    </tr>
    <tr>
      <td style="text-align: right">2</td>
      <td style="text-align: center"><a href="/Lecture/Keras">Keras</a></td>
      <td style="text-align: left">Keras 소스</td>
    </tr>
    <tr>
      <td style="text-align: right">3</td>
      <td style="text-align: center"><a href="#reference">Reference Site</a></td>
      <td style="text-align: left">참조사이트</td>
    </tr>
  </tbody>
</table>

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<h2 id="get-startedtensorflow">Get Started(<code class="language-plaintext highlighter-rouge">TensorFlow</code>)</h2>

<ul>
  <li>TensorFlow <a href="https://tensorflow.blog/윈도우즈에-아나콘다-텐서플로우-설치하기/">개발환경 Setting</a></li>
  <li><a href="https://www.anaconda.com/download/#windows">Anaconda3 5.2 설치(Python 3.6 기반)</a></li>
  <li><a href="https://www.tensorflow.org/install/install_windows">TensorFlow 설치</a></li>
</ul>

<blockquote>
  <p>conda create -n tensorflow pip python=3.6 <br />
activate tensorflow <br />
pip install –ignore-installed –upgrade tensorflow</p>
</blockquote>

<ul>
  <li>Python 필요 패키지설치</li>
</ul>

<blockquote>
  <p>(tensorflow) $ conda install scikit-learn → 파이썬 대표 머신러닝 라이브러리<br />
(tensorflow) $ conda install pillow<br />
(tensorflow) $ conda install seaborn<br />
(tensorflow) $ conda install –channel https://conda.anaconda.org/conda-forge keras<br />
(tensorflow) $ conda install h5py<br />
(tensorflow) $ conda install cx_Oracle → Oracle 연동 라이브러리<br />
(tensorflow) $ conda install pymysql   → MySQL 연동 라이브러리<br />
(tensorflow) $ conda install xlrd      → Excel 연동 라이브러리</p>
</blockquote>

<ul>
  <li>Jupyter Notebook 설치</li>
</ul>

<blockquote>
  <p>(tensorflow) $ conda install jupyter<br />
(tensorflow) $ conda install -c conda-forge jupyterlab</p>
</blockquote>

<ul>
  <li>Theano -> Tensorflow 변경</li>
</ul>

<blockquote>
  <p>~\Anaconda3\envs\tensorflow\etc\conda\activate.d 내에 있는 Keras Backend가 혹시 theano로 설정되어 있으면 이를 tensorflow로 변경</p>
</blockquote>

<ul>
  <li>Spyder 환경</li>
</ul>

<blockquote>
  <p>http://rfriend.tistory.com/298<br />
Spyder는 Rstudio layout 과 동일한 형태의 layout 도 제공한답니다. (View > Windows layout > Rstudio layout 선택)<br />
F9 한줄실행, F5 파일실행</p>
</blockquote>

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<ul>
  <li>
    <p><a href="https://tensorflow.blog/윈도우즈에-아나콘다-텐서플로우-설치하기/">Windows TensorFlow Install</a></p>

<ul>
      <li>콘다 업데이트
        <blockquote>
          <p>conda update -n base conda</p>
        </blockquote>
      </li>
      <li>파이썬 패키지 업데이트
        <blockquote>
          <p>conda update –all</p>
        </blockquote>
      </li>
      <li>Tensorflow 설치
        <blockquote>
          <p>python -m pip install –upgrade pip<br />
아나콘다 배포판에는 텐서플로 최신 버전이 늦게 포함되므로 파이썬 기본 패키지 관리자인 pip로 텐서플로우를 설치합니다.<br />
pip install tensorflow<br />
만약 AVX를 지원하지 않는 CPU를 사용하고 있다면 다음과 같이 1.5 버전을 설치합니다.<br />
pip install tensorflow==1.5.0</p>
        </blockquote>
      </li>
    </ul>
  </li>
</ul>

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<h2 id="data--source">Data & Source</h2>

<p><strong>Table of Data & Source</strong></p>

<table>
  <thead>
    <tr>
      <th style="text-align: right">No</th>
      <th style="text-align: center">Source</th>
      <th style="text-align: left">Remarks</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td style="text-align: right">0</td>
      <td style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/TensorFlowBasic.ipynb">Basic</a></td>
      <td style="text-align: left">기초,활성화함수</td>
    </tr>
    <tr>
      <td style="text-align: right">1</td>
      <td style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/XOR_Tensorflow.ipynb">XOR</a></td>
      <td style="text-align: left">XOR문제</td>
    </tr>
    <tr>
      <td style="text-align: right">2</td>
      <td style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/XOR-Solution.ipynb">XOR해결</a></td>
      <td style="text-align: left">XOR해결</td>
    </tr>
    <tr>
      <td style="text-align: right">3</td>
      <td style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/Regression.ipynb">Regression</a></td>
      <td style="text-align: left">Regression</td>
    </tr>
  </tbody>
</table>

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<p><strong>Table of MNIST Best Model Source</strong></p>

<table>
  <thead>
    <tr>
      <th style="text-align: right"> </th>
      <th style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/01_mnist_softmax.ipynb">softmax</a></th>
      <th style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/02_mnist_nn.ipynb">Neural Network</a></th>
      <th style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/03_mnist_xavier.ipynb">NN(w/ Xavier)</a></th>
      <th style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/04_mnist_deep.ipynb">Deep NN</a></th>
      <th style="text-align: center"><a href="https://github.com/shpimit/shpimit.github.io/tree/master/blog/TensorFlow/src/05_mnist_dropout.ipynb">DNN(w/ dropout)</a></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td style="text-align: right">활성화 함수1</td>
      <td style="text-align: center">W(softmax)</td>
      <td style="text-align: center">W1(Relu)</td>
      <td style="text-align: center">W1(Relu)</td>
      <td style="text-align: center">W1(Relu)</td>
      <td style="text-align: center">W1(Relu)</td>
    </tr>
    <tr>
      <td style="text-align: right">활성화 함수2</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">W2(Relu)</td>
      <td style="text-align: center">W2(Relu)</td>
      <td style="text-align: center">W2(Relu)</td>
      <td style="text-align: center">W2(Relu)</td>
    </tr>
    <tr>
      <td style="text-align: right">활성화 함수3</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">W3(softmax)</td>
      <td style="text-align: center">W3(softmax)</td>
      <td style="text-align: center">W3(Relu)</td>
      <td style="text-align: center">W3(Relu)</td>
    </tr>
    <tr>
      <td style="text-align: right">활성화 함수4</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">W4(Relu)</td>
      <td style="text-align: center">W4(Relu)</td>
    </tr>
    <tr>
      <td style="text-align: right">활성화 함수5</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">-</td>
      <td style="text-align: center">W5(softmax)</td>
      <td style="text-align: center">W5(softmax))</td>
    </tr>
    <tr>
      <td style="text-align: right">xavier_initializer</td>
      <td style="text-align: center">미사용</td>
      <td style="text-align: center">미사용</td>
      <td style="text-align: center">사용(W최적화)</td>
      <td style="text-align: center">사용(W최적화)</td>
      <td style="text-align: center">사용(W최적화)</td>
    </tr>
    <tr>
      <td style="text-align: right">Dropout</td>
      <td style="text-align: center">미사용</td>
      <td style="text-align: center">미사용</td>
      <td style="text-align: center">미사용</td>
      <td style="text-align: center">미사용</td>
      <td style="text-align: center">사용(훈련시:0.7,테스트시:1.0)</td>
    </tr>
  </tbody>
</table>

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