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Getting the dimensionality correct between layers in an untyped language is incredibly painful. Getting a prototype working on my personal machine and then havi
by airza 8y ago
Getting the dimensionality correct between layers in an untyped language is incredibly painful.
Getting a prototype working on my personal machine and then having to play AMI roulette on AWS to get it running on a GPU is frustrating and expensive.
Every time I read the tensorflow documentation I think, "I wish i could pay 500 dollars for a version of this that looked like someone cared about it."
- gtrevize 8y agoYou can skip AMI roulette by using AWS Deep Learning AMIs (https://aws.amazon.com/machine-learning/amis/ https://aws.amazon.com/machine-learning/amis/) or the new container equivalent (https://aws.amazon.com/machine-learning/containers/ https://aws.amazon.com/machine-learning/containers/)
- chewxy 8y agoNot related to TF, but the upcoming version of Gorgonia has a solution for that - we basically developed a calculus for dimensionality of data. Gorgonia is deep learning in Go, and is well typed as far as I can tell. Work on the coq program proving the calculus is taking longer than expected though. If you're interested in contributing to Gorgonia, lmk.