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Deep learning is an awesome topic. The problem I find isn't the concept or the maths. It is the enormous amount of damn data janitorial work that I have to proc
by viktorppt 12y ago
Deep learning is an awesome topic. The problem I find isn't the concept or the maths. It is the enormous amount of damn data janitorial work that I have to process everyday.
Oh data didn't come back in a clean format? 10 hours gone.
All these text need to be tagged? 2 days
What categories do these images fall under? Another 3 days spent tagging
Wanna parallelize your algorithmn? Ok, good luck learning how to deploy to multiple machines on AWS.
I will pay easily for a service that allows me to run my analysis in parallel without any sysadmin knowledge.
- agibsonccc 12y agoWhat would you like to do? I made deeplearning4j for this express purpose? Don't need hadoop, command line aws (just specify the number of machines), with a consistent data pipeline interface usable in either single threaded or distributed mode. Happy to take feature requests and answer questions.
- ldarcyftw 12y agoIt looks like Azure ML will scale out and run parallel code paths simultaneously automatically - any feedback? http://blogs.technet.com/b/machinelearning/archive/2014/06/26/the-joy-and-hard-work-of-machine-learning.aspx http://blogs.technet.com/b/machinelearning/archive/2014/06/2...