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example, while model_5 has a total of 8,861 trainable parameters, model_4 has 477,431. This reduction results from MaxPooling layers decreasing the size of feature maps, thereby transmitting less data to subsequent layers. Analysis of Loss Curves: The loss curves during the model’s training process