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IEEE/ICACT20240312 Slide.11        [Big Slide]	Oral Presentation
	For training and inference, we used Python 3.10, PyTorch 2.0, and cuda 11.7 with NVIDIA GeForce RTX 3060 12GB. The hyperparameters are epochs of 100, auto-batching ranging from 16 to 64, SGD Optimizer, 0.01 learning rate, and 0.9 momentum. Also, we augmented the dataset with rotation, flipping, scaling, brightness and contrast adjustments.

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