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Architecture of the CNNs that were designed for classification of the images obtained from single-cell dispensing. CNN-4/32 (top) with four filters in each convolutional layer and 32 nodes in the fully connected layer, and CNN-32/128 (bottom) with 32 filters in each convolutional layer and 128 nodes in the fully connected layer. Each convolution is followed by a max pooling operation.
