KyoungHa-Park

KyoungHa-Park

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Coursera Lecture-ML.ipynb","version":"0.3.2","views":{},"default_view":{},"provenance":[]}},"cells":[{"metadata":{"id":"1OcF1a9KTgVl","colab_type":"text"},"cell_type":"markdown","source":["<작성기준>\n","\n","+   전체 목차는 Course ML 강의목록 기반르로 함\n","\n","+   Course ML 목차에 개념중심으로 정리하되, 개념간 흐름(연관성)에 유의하여 정리한다.\n","\n","+   용어에 대해서는 다양한 출처가 있으므로, 출처를 별표기한다\n","\n","+   1개념 = 1이미지 형식으로 정리함"]},{"metadata":{"id":"YSCcuqEtm99P","colab_type":"text"},"cell_type":"markdown","source":["<참고내용>\n","+   http://untitledtblog.tistory.com/43?category=667127\n","+   http://umbum.tistory.com/category/Machine%20Learning/Theory\n","+   "]},{"metadata":{"id":"rUHnJUHIfDbW","colab_type":"text"},"cell_type":"markdown","source":["#1.Linear Regression with One Variable"]},{"metadata":{"id":"f39xzOFEirwe","colab_type":"text"},"cell_type":"markdown","source":["##1.1.Model and Cost Function"]},{"metadata":{"id":"wYKJktWPirzC","colab_type":"text"},"cell_type":"markdown","source":["##1.

KyoungHa-Park

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"180315_dropout.ipynb","version":"0.3.2","views":{},"default_view":{},"provenance":[]}},"cells":[{"metadata":{"id":"BeR5YKCQOS2i","colab_type":"text"},"cell_type":"markdown","source":["Dropout\n","![대체 텍스트](https://i.imgur.com/zmENnkn.png)"]},{"metadata":{"id":"XLmTBOOM6H_W","colab_type":"text"},"cell_type":"markdown","source":["Setting up the data and the model\n","+ Data Preprocessing\n","+ Weight Initialization\n","+ Batch Normalization\n","+ Regularization (L2/L1/Maxnorm/Dropout)\n","\n","Loss functions\n","\n","Summary"]},{"metadata":{"id":"49tblNlP8qJJ","colab_type":"text"},"cell_type":"markdown","source":["##1.Dropout을 이용하는 이유는 Overfitting을 막기 위함이다.\n","\n","   + Dropout과 Overfitting의 특징은?\n","   + Overfitting이 정확히 언제(시기  혹은 과정) 보이는가?\n","   + Overfitting이 발생하는 원인은 무엇인가?\n","   + Overfitting은 왜 막아야 하는가?\n","---\n"]},{"metadata":{"id":"bEct7yrW7feO","colab_type":"text"},"cell_type":"markdown","source":["+  Dropout과 Overfitting의 특징은?\n","   + O

KyoungHa-Park

KyoungHa-Park

KyoungHa-Park

KyoungHa-Park

KyoungHa-Park

KyoungHa-Park