IEEE/ICACT20260043 Slide.21        [Big Slide]       Oral Presentation
For Training Configuration, we used the Adam optimizer for its efficiency and Sparse Categorical Cross-Entropy as our loss function. We set the max epochs to 1000 but utilized Early Stopping. As the graph shows, the training stopped automatically at Epoch 199 when the validation loss stabilized, preventing wasted computation.

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