{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"140f33b3-c4ca-869e-e112-0badf6995603"},"source":""},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"39aeccb4-d812-eb3a-9d0b-ebdce2870cc1"},"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":"c5851689-e02d-b32a-87e2-a9c585d521c9"},"outputs":[],"source":"import tensorflow as tf\nprint(tf.__version__)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"4abf052d-c806-4821-f2d1-07c31462053d"},"outputs":[],"source":"import google.protobuf"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"737fb179-18b5-15e4-080c-b4b7bb4ab1c1"},"outputs":[],"source":"import keras;print(keras.__version__)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"90fc3b39-621d-5a61-5fdf-4606c811538e"},"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":"3.6.0"}},"nbformat":4,"nbformat_minor":0}