In a current study in Nature , we introduce a type of memory-augmented neural network named a differentiable neural computer, and show that it can find out to use its memory to answer concerns about complex, structured information, including artificially generated stories, family members trees, and even a map of the London Underground. We also show that it can resolve a block puzzle game employing reinforcement learning.
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It is critical to note that processing units of contemporary individual computing devices continue to evolve and outperform its predecessors. 1 distinct evolution is the merger of microprocessor and graphics processing unit (GPU) into what is now identified as accelerated processing unit (APU). The merger makes it possible for for integration of effective graphics processing abilities on best of classic arithmetic and logical computations of the processor.
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