We have been experimenting with Generative Capsule Networks (CapsNets), which have the potential to structure SingularityNET’s disparate data and services.
Generative Capsule Networks have demonstrated the capability to generalize the process of generating shifted images for never encountered shifts far outside the range of the training set. CapsNets have shown better performance in the task of one-shot transferring the capability to reconstruct rotated images from some classes to others, and to extrap0olate outside the range of the training set.
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