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This answer makes sense. I suppose my question is more along the lines of, if someone is specializing in deep learning in a PhD program then shouldn’t they at
by jeff76 8y ago
This answer makes sense.
I suppose my question is more along the lines of, if someone is specializing in deep learning in a PhD program then shouldn’t they at the very least be able to implement models and also know optimization tricks?
In other words shouldn’t they be able to develop enough skills to go deep in one area but also know enough to be dangerous in the other three domains?
- agentofoblivion 8y agoI think I agree with you with the caveat that it would depend on what they're researching. If they're researching new model architectures, I don't think it makes sense for them to try to implement the algorithms from scratch in C++/CUDA to do distributed GPU training--why not just use TensorFlow? But if you're researching distributed tensor computation, then that's your bread and butter.