{"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)from 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 import  backend as K\nfrom keras.preprocessing.image import ImageDataGenerator\n\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\nimport os\nprint(os.listdir(\"../input\"))\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n# Any results you write to the current directory are saved as output.\n\ntrain = pd.read_csv(\"../input/train.csv\")\nprint(train.shape)\ntrain.head()\n\ntest= pd.read_csv(\"../input/test.csv\")\nprint(test.shape)\ntest.head()\n\nX_train = (train.iloc[:,1:].values).astype('float32') # all pixel values\ny_train = train.iloc[:,0].values.astype('int32') # only labels i.e targets digits\nX_test = test.values.astype('float32')\n\n#Convert train datset to (num_images, img_rows, img_cols) format \nX_train = X_train.reshape(X_train.shape[0], 28, 28)\n","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}