There are several ways to approach Deep Learning, so I wanted to compare experiences.
I am particularly interested in performance and deployment. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
What has worked best for you, and what would you avoid?
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I am particularly interested in performance and deployment. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
What has worked best for you, and what would you avoid?
Photo by on
