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Fig. 1


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Structure of our CNN LensFinder. Each max-pooling layer downsamples the images, allowing the next convolutional layer to identify more abstract features in the resulting lower-resolution images. The features extracted are then put through two neighbouring fully connected layers (multi-layered perceptrons) and a prediction is made on how likely the image belongs to a specific class.

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