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> "this time it's different" It may be different for other reasons but the main difference I note today is the number of opensource AI/ML platforms that are tr
by tshadley 10y ago
> "this time it's different"
It may be different for other reasons but the main difference I note today is the number of opensource AI/ML platforms that are trivial to install, use, play, experiment at pretty much near the peak computing capacity of the hardware we use today. Exploring the vast search space of reality has never been easier and faster than today.
- amelius 10y agoPerhaps we're on a plateau with good real-life applications then :)
- paulbaumgart 10y agoProbably true for the "internet scale" applications. But my impression is that there's still lots of medium-sized opportunities to build interesting things around the edges, in fields outside of the mobile/PC ecosystem.
- miketery 10y agoWhat are some tools, frameworks, or platforms that you enjoy or recommend (for starters)?
- tshadley 10y agoHere's a chart: https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software https://en.wikipedia.org/wiki/Comparison_of_deep_learning_so... I'd recommend starting with Theano, Tensorflow, anything python. I do like Torch's raw speed on CUDA though.