TALKING

A deep learning neural network for manufacturing should be exposed to as much variation as possible , including different hours and days of production , mix of random dates , environmental factors like changing ambient light , multiple production sites . Failing to account for these changes in training data can lead to reduced accuracy , says Donato Montanari at Zebra Technologies .

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