In Deep Learning there are two concepts called Training and Inference. These AI concepts define what environment and state the data model is in after running through the Deep Learning Neural Network. In this episode of Big Data Big Questions I will explain the differences between Training vs. Inference and detail the hardware and system requirements in each environment. Watch this video to learning what Machine Learning Engineers should understand about both stages of Deep Learning.
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