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Using Deep Learning with Symbolic Systems
The combination of deep neural models and symbolic systems required the team to feed the outputs of deep neural models into an open-cog symbolic representation, then perform pattern mining and reasoning on the different camera feeds, using a project for Cisco that watched street scenes as an example. Real-time access was needed for accessing computation graphs on Torch in a hypergraph.