Interesting points from yesterday's survey (note: the sample is not random, thus not representative of anything, make of it what you will):
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2 - People are typically getting decent results with their current approach, but there is likely a lot of margin for improvement.pic.twitter.com/z2gFg4aDt8
3 - Almost everyone needs speed, but surprisingly not everyone is using GPUs yet.pic.twitter.com/H8nfUckWEx
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4 - People are mostly using Keras, TensorFlow, and Scikit-Learn.pic.twitter.com/3eWnyMHDCB
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thanks for sharing and good to see there
@deeplearning4j that is the *only* GPU accelerated not-numpy (#ND4J) ML library written in@java - Show replies
New conversation -
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Is that a representative sample? I am training statistical models a lot but don't need a GPU (yet).
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Related: We are making an announcement on
@machinelabs_ai on Monday. Would love to talk to you. I'll try to hit you up on slack on Monday.Thanks. Twitter will use this to make your timeline better. UndoUndo
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