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Visualization of the proposed convolutional autoencoders based semisupervised learning model Convolutional AutoEncoder based Semi-supervised Network. The original images are first encoded into hidden codes through 5 layers of convolutional layers with a filter size of 4 × 4 and a stride of 2. The hidden codes can be either fed into fully connected layers for classification or into the 5 layers of deconvolutional layers for decoding into original images.
