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I played around with ML a few years back. I took the Andrew Ng course on Coursera and spent some time with some python notebooks - but I never did anything wit
by crusso 9y ago
I played around with ML a few years back. I took the Andrew Ng course on Coursera and spent some time with some python notebooks - but I never did anything with it beyond just proving that I could follow the examples and implement my own ML solutions for some simple training sets.
Now I have some problems I'd like to solve with ML. So assuming that I understand the basic concepts, what's the HN recommendation for a good library/system to get started with on doing some practical ML with neural nets?
Would TensorFlow be the best way to get into it?
- ranman 9y agoCheckout MXNet as well
- ranman 9y agohttps://mxnet.incubator.apache.org/tutorials/ https://mxnet.incubator.apache.org/tutorials/
- andreyk 9y agoKeras is probably the best library to get started - Ternsorflow is mainly needed if you need to mess with lower-level details, which for many things is not really necessary.
- crusso 9y agoWould you still recommend Keras for non-image work?