I am trying to improve my approach to Deep Learning and could use some practical advice.
I am particularly interested in deployment and accessibility. 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?
I am particularly interested in deployment and accessibility. 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?