{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"45f8e23e-5b93-2b61-8058-791a51bf2f96"},"source":""},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"0f58f016-7e9d-d1f5-223b-c22b72ea7fc7"},"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":"1e02e2ab-c00c-1ead-30fe-6e493447a3f2"},"outputs":[],"source":"import lasagne"},{"cell_type":"markdown","metadata":{"_cell_guid":"4b594566-7c9e-6c1a-b9bb-4f6b8c15c1b0"},"source":"<img src=\"../input/train/cat.7777.jpg\">"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"6093a031-bae1-3bd6-9f92-17063913378b"},"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}