Research1 min read
Instead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically.
By OpenSmartRoute editorial · attributed excerpt
From Amazon Science
Instead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically.
Read the original at Amazon Science: How controllers from industrial machinery can coordinate multitask machine learning
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