{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"b4296d82-a934-9c01-9b56-c05385e00eab"},"outputs":[],"source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ec8d2b1f-7828-337e-bc05-a0b7c542c2dc"},"outputs":[],"source":"import tensorflow as tf\ntrain_dir = '../input/train/'\ntest_dir = '../input/test/'\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"daadbb1a-b46d-32c2-5d58-fd1398553c1f"},"outputs":[],"source":""}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.2"}},"nbformat":4,"nbformat_minor":0}