{"cells":[{"metadata":{},"cell_type":"markdown","source":"Ref: https://www.kaggle.com/xhlulu/alaska2-efficientnet-on-tpus?select=sample_submission.csv\n\nhttps://www.youtube.com/watch?v=u9pIhOay8Fw\n\nhttps://www.kaggle.com/sgladysh/alaska2-steganalysis-tpu-efficientnet-b7-b6-b5-b4\n\nhttps://www.kaggle.com/tasnimnishatislam/train-inference-gpu-baseline-tta","execution_count":null},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"!pip install -q efficientnet\n","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"import math, re, os\n\nimport numpy as np\nimport pandas as pd\nfrom matplotlib import pyplot as plt\nfrom kaggle_datasets import KaggleDatasets\nimport tensorflow as tf\nimport tensorflow.keras.layers as L\nimport efficientnet.tfkeras as efn\nfrom sklearn import metrics\nfrom sklearn.model_selection import train_test_split","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"BASE_PATH = \"../input/alaska2-image-steganalysis\"\nEPOCH = 7\nBATCH_SIZE = 16","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}