{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"653f63e9-d6f8-f7a3-8bf2-42e00f516845"},"source":"This is my first notebook model for this competition using Keras+TensorFlow. Built a quick model with minor hyperparameter adjustments to get a baseline. Enjoy!"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"2099ebd3-4550-99cf-e5b5-e7936130ef50"},"outputs":[],"source":"import os\nimport piexif\nimport cv2\nfrom tqdm import tqdm\nimport numpy as np\nfrom sklearn.model_selection import train_test_split\nimport keras as k\nfrom keras.models import Sequential\nfrom keras.layers import Dense, Dropout, Flatten\nfrom keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\nfrom keras import optimizers\nimport matplotlib.pyplot as plt\nimport pandas as pd"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"c275a588-55e1-3c15-e8c0-4d6e396e9223"},"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":"3.6.0"}},"nbformat":4,"nbformat_minor":0}