There are several ways to approach Deep Learning, so I wanted to compare experiences.
I am particularly interested in evaluation and real-world use. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
Which approach would you recommend and why?
I am particularly interested in evaluation and real-world use. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
Which approach would you recommend and why?