{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"bd179cc3-ff06-017b-56ae-f43f7616f716"},"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.\n\n%matplotlib inline"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"3e773c12-ae8d-e370-ce9f-fc5ce2af0b8b"},"outputs":[],"source":"mnist = pd.read_csv('../input/train.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"254ffcd6-9995-9335-ba98-398edbc2e74c"},"outputs":[],"source":"from sklearn "},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"8acc882c-2a98-d24f-bc7e-17fdfffad922"},"outputs":[],"source":"labels = mnist.pop('label')\n\ntrain_labels = to_categorical(labels)\ntrain_labels.shape[1]"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"48efd095-4124-df82-0d0f-4bf017e51533"},"outputs":[],"source":"from keras.models import Sequential\nfrom keras.layers import Dense, Activation\n\nmodel = Sequential()\n\nmodel.add(Dense(units=64, input_dim=100))\nmodel.add(Activation('relu'))\nmodel.add(Dense(units=10))\nmodel.add(Activation('softmax'))"}],"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}