Closed ghost closed 4 years ago
Using tensorflow.keras CNN model to train binary classification of pawn(pawn and not pawn) on a dataset of ~400 images with augmentation, I got validation accuracy of approx 65%
Using tensorflow.keras CNN model to train binary classification of pawn(pawn and not pawn) on a dataset of ~400 images with augmentation, I got validation accuracy of approx 65%