Masdarul/rice-dataset-classification-using-Deep-learning-and-Tensorflow
This document describes rice image classification using TensorFlow with the Kaggle dataset. The process includes preprocessing, resolution changes, 80:20 data split, and training a Sequential CNN model using Adam optimizer and EarlyStopping, stopping at epoch 2 when accuracy reaches 97%. The model is converted to TFLite, TensorFlow.js, and SavedMod
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