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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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.