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Our Mission Videos Publications Email A partnership of Proven Path to Deep Learning Success Electronics manufacturing companies doing Deep Learning (DL) have found that it’s easy to get to a DL prototype, but it’s harder to get from “good prototype” results to “production-quality” results.
DL for electronics manufacturing is inherently more difficult because the level of accuracy required is orders of magnitude higher than typical DL applications. Reaching this high level of accuracy requires masses of training data, including serious anomalous conditions that (thankfully) rarely occur in production.
This lack of data – particularly anomalous data – creates a data gap between prototype- and production-quality DL applications. CDLe has successfully completed over 30 production DL projects for electronic manufacturing by using digital twin technology to bridge this data gap.
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