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Isn’t the argument between transfer learning and neural architecture search the same problem posed by the “no free lunch” theorem, which essentially states spec
by QML 8y ago
Isn’t the argument between transfer learning and neural architecture search the same problem posed by the “no free lunch” theorem, which essentially states specialized algorithms will always beat generalized algorithms in specific tasks and vice versa?
- riku_iki 8y agoVery few people write assembler code today, because compilers are good enough most of the time. The same can happen if we get generic and robust enough ML tool.
- QML 8y agoCould you expand on that analogy? I'm not sure if a one-model fits-all is comparable to a one-optimizer-fits-all. Wouldn't that be an argument against transfer learning, since we don't have a universal programming language and thus there does exist multiple compilers?
- taeric 8y agoIsn't it a big difference that people do understand assembler in the small?