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Multimodal learning from visual and remotely sensed data

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Figure

Figure 2.1 – Graphical representation of an autoencoder. The model is trained to minimise a loss function between the input x and the reconstruction x 0 .
Figure 2.2 – Graphical representation of a denoising autoencoder. In this case, masking noise is applied to the input data
Figure 2.4 – Graphical representation of a feedforward neural network.
Figure 2.5 – Graphical representation of a Deep Belief Network.
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