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layer. The MaxPool2D layers help the model learn more general features and reduce overfitting by halving the number of features. The model consists of 3 Conv2D layers, each followed by a MaxPool2D layer, a Flatten layer, and a final output Dense(1, activation=’sigmoid’) layer. This approach aids in