Back in the early ‘80s, when Hinton and his colleagues first started work on this idea, computers weren’t fast or powerful enough to process the enormous collections of data that neural nets require. Their success was limited, and the AI community turned its back on them, working to find shortcuts to brain-like behavior rather than trying to mimic the operation of the brain.


At some point, the company realized that there are two views on the process. From the vendor’s perspective, the process ends when all the contractual obligations are met. However, from the customer’s perspective it looks slightly different. The desired result is not the equipment properly mounted, assembled and tuned – it’s the equipment actually producing the goods.

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