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Bijly Borkatullah

As seen in: MDPI
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Articles

Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models

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By A. Uddin, Yen-Lin Chen, Bijly Borkatullah, Mst. Sathi Khatun
| MDPI
6. Result Analysis 6.1. Experimental Setup Hyper-parameter settings play a crucial role in the training process and overall performance of each model. The batch size determines the number of samples processed in each training iteration. The image dimension and interpolation method define the size and technique used for resizing the images. The loss function measures the discrepancy between predicted and actual values. The optimizer algorithm updates the model’s parameters during training.
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