{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport matplotlib.pyplot as plt\nfrom keras import models, layers, Sequential\nfrom sklearn.model_selection import train_test_split\nfrom keras.layers import Dense , Dropout , Conv2D , MaxPooling2D, Flatten\nfrom keras.preprocessing.image import *\nfrom tensorflow.keras.optimizers import Adam","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-02-18T17:49:08.967722Z","iopub.execute_input":"2023-02-18T17:49:08.968141Z","iopub.status.idle":"2023-02-18T17:49:16.473080Z","shell.execute_reply.started":"2023-02-18T17:49:08.968110Z","shell.execute_reply":"2023-02-18T17:49:16.471615Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train = pd.read_csv(\"/kaggle/input/digit-recognizer/train.csv\")\ndf_test = pd.read_csv(\"/kaggle/input/digit-recognizer/test.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:49:30.591926Z","iopub.execute_input":"2023-02-18T17:49:30.592624Z","iopub.status.idle":"2023-02-18T17:49:34.920884Z","shell.execute_reply.started":"2023-02-18T17:49:30.592590Z","shell.execute_reply":"2023-02-18T17:49:34.919578Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.shape, df_test.shape","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:49:58.127831Z","iopub.execute_input":"2023-02-18T17:49:58.128247Z","iopub.status.idle":"2023-02-18T17:49:58.140318Z","shell.execute_reply.started":"2023-02-18T17:49:58.128214Z","shell.execute_reply":"2023-02-18T17:49:58.138771Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.head()","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:50:19.409974Z","iopub.execute_input":"2023-02-18T17:50:19.410866Z","iopub.status.idle":"2023-02-18T17:50:19.436188Z","shell.execute_reply.started":"2023-02-18T17:50:19.410826Z","shell.execute_reply":"2023-02-18T17:50:19.434438Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pixel_data = df_train.iloc[:,1:785] #from column 1 to 785\nlabels = df_train[\"label\"]","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:51:32.592859Z","iopub.execute_input":"2023-02-18T17:51:32.593328Z","iopub.status.idle":"2023-02-18T17:51:32.601217Z","shell.execute_reply.started":"2023-02-18T17:51:32.593292Z","shell.execute_reply":"2023-02-18T17:51:32.600394Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# reshape\nnumber = np.array(pixel_data)\nnumber = number.reshape(len(pixel_data),28,28,1)","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:52:01.810628Z","iopub.execute_input":"2023-02-18T17:52:01.810988Z","iopub.status.idle":"2023-02-18T17:52:01.864156Z","shell.execute_reply.started":"2023-02-18T17:52:01.810960Z","shell.execute_reply":"2023-02-18T17:52:01.862603Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.imshow(number[3])\nplt.title(\"Value is: %d\" % labels[3])","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:52:43.016878Z","iopub.execute_input":"2023-02-18T17:52:43.017299Z","iopub.status.idle":"2023-02-18T17:52:43.177047Z","shell.execute_reply.started":"2023-02-18T17:52:43.017264Z","shell.execute_reply":"2023-02-18T17:52:43.176128Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.imshow(number[12])\nplt.title(\"Value is: %d\" % labels[12])","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:52:56.572033Z","iopub.execute_input":"2023-02-18T17:52:56.572407Z","iopub.status.idle":"2023-02-18T17:52:56.740011Z","shell.execute_reply.started":"2023-02-18T17:52:56.572377Z","shell.execute_reply":"2023-02-18T17:52:56.738972Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"x_train, x_test, y_train, y_test= train_test_split(number, labels, test_size=0.2, random_state=42)","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:53:34.757492Z","iopub.execute_input":"2023-02-18T17:53:34.757910Z","iopub.status.idle":"2023-02-18T17:53:35.013057Z","shell.execute_reply.started":"2023-02-18T17:53:34.757878Z","shell.execute_reply":"2023-02-18T17:53:35.011649Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"img_data_gen=ImageDataGenerator()\n\nmodel=Sequential()\n\nmodel.add(Conv2D(8, kernel_size=(3,3), activation='relu', input_shape=(28,28,1)))\nmodel.add(Conv2D(16, kernel_size=(3,3), activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2, 2)))\nmodel.add(Dropout(0.25))\n\nmodel.add(Conv2D(32, kernel_size=(3, 3), activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2, 2)))\nmodel.add(Conv2D(32, kernel_size=(3, 3), activation='relu'))\nmodel.add(MaxPooling2D(pool_size=(2, 2)))\nmodel.add(Dropout(0.25))\n\nmodel.add(Flatten())\nmodel.add(Dense(64, activation='relu'))\nmodel.add(Dropout(0.5))\nmodel.add(Dense(10, activation='softmax'))","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:53:59.981328Z","iopub.execute_input":"2023-02-18T17:53:59.981678Z","iopub.status.idle":"2023-02-18T17:54:00.165460Z","shell.execute_reply.started":"2023-02-18T17:53:59.981653Z","shell.execute_reply":"2023-02-18T17:54:00.164315Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.compile(loss='sparse_categorical_crossentropy', optimizer='adam', metrics=['accuracy'])","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:54:03.932533Z","iopub.execute_input":"2023-02-18T17:54:03.932923Z","iopub.status.idle":"2023-02-18T17:54:03.945931Z","shell.execute_reply.started":"2023-02-18T17:54:03.932896Z","shell.execute_reply":"2023-02-18T17:54:03.944803Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# training with 50 epochs\nmodel.fit(x_train, y_train,epochs=50)","metadata":{"execution":{"iopub.status.busy":"2023-02-18T17:54:42.572798Z","iopub.execute_input":"2023-02-18T17:54:42.573183Z","iopub.status.idle":"2023-02-18T18:07:03.264523Z","shell.execute_reply.started":"2023-02-18T17:54:42.573153Z","shell.execute_reply":"2023-02-18T18:07:03.263564Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_pred = model.predict(x_test)\ny_predict = [np.argmax(y_pred[i]) for i in range(len(y_pred))]","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:07:49.922968Z","iopub.execute_input":"2023-02-18T18:07:49.923367Z","iopub.status.idle":"2023-02-18T18:07:51.473617Z","shell.execute_reply.started":"2023-02-18T18:07:49.923336Z","shell.execute_reply":"2023-02-18T18:07:51.472569Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_list = y_test.to_list()\nplt.figure(figsize=(9,9))\nfor i in range(9):\n    plt.subplot(3,3,i+1)\n    plt.imshow(x_test[i])\n    plt.axis('off')\n    plt.title('actual value : %d' %y_list[i]+ '\\n predicted value is : %d ' % y_predict[i])","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:08:22.229752Z","iopub.execute_input":"2023-02-18T18:08:22.230126Z","iopub.status.idle":"2023-02-18T18:08:22.541115Z","shell.execute_reply.started":"2023-02-18T18:08:22.230095Z","shell.execute_reply":"2023-02-18T18:08:22.540146Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# validation accuracy\nfrom sklearn.metrics import accuracy_score\naccuracy_score(y_test,y_predict)","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:08:22.919123Z","iopub.execute_input":"2023-02-18T18:08:22.919599Z","iopub.status.idle":"2023-02-18T18:08:22.929651Z","shell.execute_reply.started":"2023-02-18T18:08:22.919564Z","shell.execute_reply":"2023-02-18T18:08:22.928343Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Predictions for submission using the test data\n\ndf_test = np.array(df_test)\ndf_test = df_test.reshape(len(df_test),28,28,1)\nresult = model.predict(df_test)\npredicted_val=[]\nfor i in range(len(result)):\n    predicted_val.append(np.argmax(result[i]))","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:08:26.935059Z","iopub.execute_input":"2023-02-18T18:08:26.936390Z","iopub.status.idle":"2023-02-18T18:08:31.584047Z","shell.execute_reply.started":"2023-02-18T18:08:26.936320Z","shell.execute_reply":"2023-02-18T18:08:31.582801Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# make a csv for submission\n# submission needs two columns -> ImageId and Label\n\nsubmission=pd.DataFrame()\nimgid=[]\nfor i in range(1, len(predicted_val)+1):\n    imgid.append(i)\n    \nsubmission[\"Imageid\"]=imgid\nsubmission[\"Label\"]=predicted_val","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:08:31.586006Z","iopub.execute_input":"2023-02-18T18:08:31.586302Z","iopub.status.idle":"2023-02-18T18:08:31.624820Z","shell.execute_reply.started":"2023-02-18T18:08:31.586277Z","shell.execute_reply":"2023-02-18T18:08:31.623769Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.head()","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:08:31.626027Z","iopub.execute_input":"2023-02-18T18:08:31.626343Z","iopub.status.idle":"2023-02-18T18:08:31.637044Z","shell.execute_reply.started":"2023-02-18T18:08:31.626314Z","shell.execute_reply":"2023-02-18T18:08:31.635804Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.to_csv('submission.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2023-02-18T18:08:44.851640Z","iopub.execute_input":"2023-02-18T18:08:44.852013Z","iopub.status.idle":"2023-02-18T18:08:44.884687Z","shell.execute_reply.started":"2023-02-18T18:08:44.851987Z","shell.execute_reply":"2023-02-18T18:08:44.883534Z"},"trusted":true},"execution_count":null,"outputs":[]}]}