{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"fe1be314-d402-0124-92f8-3c8c3e9e7717"},"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":"1f5c12c5-5c57-4c17-3dd1-00097f8b0b04"},"outputs":[],"source":"import keras"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"574a1944-6c59-af64-9460-531e1e4adaf4"},"outputs":[],"source":"import gdal"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"b3f97c39-4719-e168-5ab5-feba53c5e788"},"outputs":[],"source":"from osgeo import gdal"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"5d20c2fd-46fa-1c2c-252e-8e3dcee71298"},"outputs":[],"source":"!ls ../input"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a94ab922-7ae0-99d9-b572-2326e0d84cd8"},"outputs":[],"source":"!ls ../input/three_band"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"e61dbf9e-14b9-23e0-4960-76dec87d06b7"},"outputs":[],"source":"!ls ../inputs/*.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"6e1510e0-f724-db20-321f-5c5df0465fff"},"outputs":[],"source":"!ls ../input/train_wkt.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"110e4c39-2c7f-5d21-02a0-422866ddb2c2"},"outputs":[],"source":"!more ../input/train_wkt.csv"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"94eb88e9-514a-ad2d-4588-d8dca3456e93"},"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}