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Journal of Mathematics in Industry
Figure 2 | Journal of Mathematics in Industry

Figure 2

From: Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images

Figure 2

Structure of the convolutional autoencoder used in the clustering approach (Clu-AE network). Each block is composed of a convolutional layer, a batch normalization layer and a ReLU activation. The block marked with the symbol â–½ includes a dropout layer at its end. The block marked with the symbol â–· is followed by a \(1\times 1\) kernel convolutional layer with a number of features equal to the number of channels of the input image

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