{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","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)\nimport os\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\nfrom keras.models import Sequential\nfrom keras.layers import Dense , Dropout , Lambda, Flatten\nfrom keras.optimizers import Adam ,RMSprop\nfrom sklearn.model_selection import train_test_split\nfrom keras.utils.np_utils import to_categorical\n\n#organizing data\ntrain = pd.read_csv(\"../input/train.csv\")\ntest= pd.read_csv(\"../input/test.csv\")\ntest = test.astype('float32')\ny_train = train['label'].astype('float32')\nx_train = train.drop('label',axis=1).astype('int32')\n\n#pre-processing\ny_train= to_categorical(y_train)\n\n#model construction\nmodel= Sequential()\nmodel.add(Dense(128, input_dim=784, activation='relu'))\nmodel.add(Dense(64, activation='relu'))\nmodel.add(Dense(10, activation='softmax'))\nmodel.compile(optimizer=RMSprop(lr=0.001), loss='categorical_crossentropy', metrics=['accuracy'])\n\n# Fit the model\nmodel.fit(x_train, y_train, epochs=10, batch_size=1500)\n\nresults = model.predict_classes(test)\nprint(results.shape)\n\nmy_submission=pd.DataFrame({\"ImageId\": list(range(1,len(results)+1)), \"Label\": results})\nmy_submission.to_csv('submission.csv', index=False)\n\n# Any results you write to the current directory are saved as output.","execution_count":18,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.5","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}