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      "body": "1. 수영 모든 자체가 없어서 수영 모드로 하는 훈련 프로그램을 실행할 수가 없다 수영 모드 자체가 없다\n그러나 다른 중국산 수중 이어폰가 비교해봤을때 물에 들어가 있으면서 이어폰 플러그를 자기 귀와 적당한 것만 오르게 되면 귀에 물 더 들어가지 않으면서 소리와 음악을 잘들을 수 있다 1시간 동안 무난하게 잘들을 수 있었다 이번 사용 1시간 동안 사용 후에 훈련이 자동으로 일시정지 되는 기능이 켜져 있었는데 이전 때문에 훈련이 시작됐다 말았다 계속 번갈아 가면서 했었다 다음번 테스트 때는 훈련 일시 정지 기능을 끄고 해야겠다 이니셜 D 노래는 수영하면서 듣기에 적당했다",
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      "body": "<html>\n<ol>\n  <li>스카이라인을 보고 나서 양들의 침묵 리뷰를 읽어보니 양들의 침묵 연기가 훌륭했다는 것을 실감했다.</li>\n  <li>....</li>\n</ol>\n</html>",
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      "body": "<html>\n<ol>\n  <li>주인공버프가 너무 심하다\n    <ol>\n      <li>주인공의 뇌는 빨간색. 사랑에 빠졌나봐</li>\n    </ol>\n  </li>\n  <li>외계인은 약하지만 재생능력이 뛰어나다</li>\n  <li>비행기가 멋있다</li>\n  <li>캐릭터들끼리 뭔가 감정의 교류가 없다. 난 보는데 지장이 없었네</li>\n  <li>속편이 제작될 예상이라는데, 보고 싶다.</li>\n</ol>\n</html>",
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      "body": "<html>\n<ol>\n  <li>uc40\n    <ol>\n      <li>장점\n        <ol>\n          <li>가격이 저렴 5만원 이하</li>\n        </ol>\n      </li>\n      <li>단점\n        <ol>\n          <li>밤에만 시청가능</li>\n          <li>가장자리부분이 둥글게 나옴</li>\n          <li>소음이 큼</li>\n          <li>반드시 hdmi를 연결해서 봐야함</li>\n        </ol>\n      </li>\n    </ol>\n  </li>\n  <li>소니 cl1a : 50만원\n    <ol>\n      <li>장점\n        <ol>\n          <li>크기가 작다</li>\n          <li>오토포커스가 잘 된다</li>\n          <li>소음이 적다</li>\n        </ol>\n      </li>\n      <li>단점\n        <ol>\n          <li>가격에 비해 자막이 선명하지 못하다</li>\n          <li>기본 재생기능이 없어서 hdmi로 연결해야 한다</li>\n          <li>스피커가 작다</li>\n        </ol>\n      </li>\n    </ol>\n  </li>\n  <li>spro2 : 중고 30만원\n    <ol>\n      <li>장점\n        <ol>\n          <li>&nbsp;화질이 좋다. 자막이 또렷이 보임</li>\n          <li>안드로이드 기반이라 마이크로sd만 꽂으면 원활히 재생가능</li>\n          <li>휴대도 가능</li>\n          <li>낮에도 비교적 잘 보임</li>\n        </ol>\n      </li>\n      <li>단점\n        <ol>\n          <li>가성비가 좋을수도 나쁠수도. 절대가격이 비싸긴 하다.</li>\n        </ol>\n      </li>\n    </ol>\n  </li>\n</ol>\n</html>",
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      "body": "<html>\n<ol>\n  <li>그냥 찍어보니 화질이 별로다. 앱을 설치해서 설정을 조작할 수 있는지 살펴보자 SYVR360</li>\n  <li>와이파이로 연결하는데 잘 안 된다.</li>\n  <li>포기</li>\n  <li>&nbsp;카메라와 pc를 usb로 직접 연결</li>\n  <li>pc에 symax360을 설치하고 왼쪽 아래에 가위로 스티칭 작업을 해본다</li>\n  <li>스티칭을 해야 두 카메라 사이의 공백이 서로 붙는다.</li>\n  <li>유투브에 올리기 해본다. spatial media metadata injector를 깃허브에서 다운로드</li>\n  <li>유투브에 올려보기</li>\n  <li>굳</li>\n</ol>\n</html>",
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      "body": "<html>\n<p>**스포일러**</p>\n<p><br></p>\n<p>- 모두 가상현실에서 빠져나옴. 가상현실은 그래도 먹고 살기 편했는데 현실이 아니란 걸 알면 얼마나 괴로울까?</p>\n<p>- 노리는 다시 가상현실로 돌아가고 싶어함. 이미 현실을 알고 있으면 돌아가더라도 행복하기 힘들것 같음</p>\n<p>- 맬라니는 외계인 편으로 확실히 보임. 죽은 멜라니가 아니라 죽은 멜라니의 형상을 한 외계인이 아닐까 생각함</p>\n<p>- 빅짐 : 사람들 앞에 별로 안 나서고 어떤 마음인지 모르겠음. 자기는 가상현실에 갔다 오지 않아서 그런가..&nbsp;</p>\n<p><br></p>\n<p><br></p>\n<p>다음화 예상</p>\n<p>새롭게 등장한 인류학자 두명 vs 빅짐으로 보임. 뭐든지 빅짐은 그 대칭점에 있다. 인류학자들이 이겼으면 좋겠지만, 아마 빅짐이 이길 듯, 어떻게 이길지가 구음</p>\n</html>",
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      "body": "<html>\n<ol>\n  <li>함수\n    <ol>\n      <li>선형함수 : 입력값과 출력값의 지수가 모두 1인 함수</li>\n      <li>비선형함수 : 선형함수가 아닌 함수</li>\n    </ol>\n  </li>\n  <li>퍼셉트론&nbsp;\n    <ol>\n      <li>일련의 과정\n        <ol>\n          <li>입력 : x</li>\n          <li>첫번째 작용 : 가중치 w1을 x에 곱하고, 상수 b1을 더한다.</li>\n          <li>두번째 작용 : 첫번째 작용값을 활성화함수의 입력값으로 지정</li>\n          <li>출력 : 활성화함수의 출력</li>\n        </ol>\n      </li>\n      <li>예\n        <ol>\n          <li>입력 : x</li>\n          <li>작용 : w1 * x + b1</li>\n          <li>출력 : 활성화함수(w1*x + b1)&nbsp;</li>\n        </ol>\n      </li>\n    </ol>\n  </li>\n  <li>활성화함수 - 퍼셉트론이 2개 이상인 경우\n    <ol>\n      <li>출력값 = w1*(w2*x+b2)+b2 = w1*w3*x + w1*b2 + b2 &nbsp;</li>\n      <li>일차함수 = 선형함수</li>\n      <li>퍼셉트론이 1개인 경우와 차이점이 없다.\n        <ol>\n          <li>가중치 w1 * w3</li>\n          <li>상수 w1*b2 + b2</li>\n        </ol>\n      </li>\n    </ol>\n  </li>\n  <li>결론\n    <ol>\n      <li>활성화함수가 일차함수(선형함수)인 경우에는 퍼셉트론이 여러개라도 한개인 경우와 차이가 없으므로 여러개의 퍼셉트론을 사용하기 위해서는 비선형함수를 활성함수로 해야 한다.</li>\n    </ol>\n  </li>\n</ol>\n<p><br></p>\n</html>",
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      "body": "<html>\n<ol>\n  <li>함수\n    <ol>\n      <li>선형함수 : 입력값과 출력값의 지수가 모두 1인 함수</li>\n      <li>비선형함수 : 선형함수가 아닌 함수</li>\n    </ol>\n  </li>\n  <li>퍼셉트론&nbsp;\n    <ol>\n      <li>일련의 과정\n        <ol>\n          <li>입력 : x</li>\n          <li>첫번째 작용 : 가중치 w1을 x에 곱하고, 상수 b1을 더한다.</li>\n          <li>두번째 작용 : 첫번째 작용값을 활성화함수의 입력값으로 지정</li>\n          <li>출력 : 활성화함수의 출력</li>\n        </ol>\n      </li>\n    </ol>\n  </li>\n</ol>\n</html>",
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      "body": "<html>\n<ol>\n  <li>함수\n    <ol>\n      <li>선형함수 : 입력값과 출력값의 지수가 모두 1인 함수</li>\n      <li>비선형함수 : 선형함수가 아닌 함수</li>\n    </ol>\n  </li>\n  <li>퍼셉트론\n    <ol>\n      <li><br></li>\n    </ol>\n  </li>\n</ol>\n</html>",
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      "body": "1. 콜라브 페이스북 검색\n  결과없음\n2.두렵지만 영어로 검색시도\n  놀랍게도 colab라 검색하니 엄청 나옴  \n  일주일 정도 전 콜라보레토리랑 같은 거네. 그때는 무슨 말인지 몰랐지\n3. https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d\n4. Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch - https://www.kdnuggets.com/2018/02/google-colab-free-gpu-tutorial-tensorflow-keras-pytorch.html\n  Google Colab : a free cloud service and now it supports free GPU\n  you can\n    improve your Python programming language coding skills.\n    develop deep learning applications using popular libraries such as Keras, TensorFlow, PyTorch, and OpenCV  \n    FREE\n5.튜토리얼대로 콜라브에 예제코드를 써봄. 정상작동\n6. google colab youtube by 3mindev\n  이것저것 눌러보기  \n  도움말 읽기\n7.Jupyter Notebook environment\n  open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text\n8.MNIST MLP 코드 분석\n  sequential model : a linear stack of layers\n  ‎dense layer : 입력 뉴런과 출력 뉴런이 모두 연결\n  ‎kernel : weights\n  ‎2d layers : 두 변수\n  RMSprop : gradient descent 종류 중 하나\n  \n9. keras mnist mlp 코드를 복사해서 콜라브에 붙여넣기하고 실행  잘 작동함\n  너무 편해서 앞으로 액셀 다루듯 딥러닝을 다룰 수 있을 듯 \n[ 0.5 ] MNIST\n[  ] 2차 함수 뉴럴넷으로 구현\n[  ] MNIST CNN",
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