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Personally I wish we'd get beyond these low level abstractions by now. Machine learning is so wonderfully mathematical that making abstractions from the details
by hwers 5y ago
Personally I wish we'd get beyond these low level abstractions by now. Machine learning is so wonderfully mathematical that making abstractions from the details should be incredibly easy and powerful. I can't believe like 8 years after the big ML wave e.g. frontend javascript developers aren't enjoying the fruits of these labors (despite there being no good reason for them not to be able to).
- dbish 5y agoWhat do you envision that would help JavaScript devs take advantage of ML? There is tensorflow.js. Are you thinking completely different ‘building blocks’ that provide higher level apis like fast.ai geared towards frontend devs or something else?
- SleekEagle 5y agoThey actually made ml5.js for this reason, not sure if you've seen it https://ml5js.org/ https://ml5js.org/ Pretty cool imo
- SleekEagle 5y agoHave you checked out TensorFlow.js? May be what you're looking for...
- jstx1 5y agoThere are high level abstractions like keras and tensorflow.js (or even higher level GUI tools). All of them are fairly accessible to people with some basic programming knowledge. I don't get your point about JS developers not enjoying the fruits of these labors - they don't need to enjoy them because they work in a different domain. And if they're interested in playing around with deep learning, the higher level APIs are easy to pick up. I'm not sure what you're expecting to see.
- SleekEagle 5y agoYeah they made ml5.js for this reason: https://ml5js.org/ https://ml5js.org/ I do feel like Google could do better communicating all of their different tools though. Their ecosystem is large and pretty confusing - they've got so many projects going on at once that it always seems like everyone gets fed up with them before they take a second pass and make them more friendly to newcomers. Facebook seems to have taken a much more focused approach as you can see with PyTorch Live