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It's unfortunate that just because Tensor Flow was released, you felt the need to replace references to deep learning (which is a somewhat well-defined applicat
by halflings 11y ago
It's unfortunate that just because Tensor Flow was released, you felt the need to replace references to deep learning (which is a somewhat well-defined application) by "machine intelligence" [1], which could mean so many things.
Otherwise, it's great to see such initiatives in Rust. I'm unsure if there's an equivalent that implements more traditional ML algorithms (logistic regression, decision tree, random forest, SVM, etc.)
[1] https://github.com/autumnai/leaf/commit/58bfa92abd5721eae116b44e86103cbd850aee23#diff-04c6e90faac2675aa89e2176d2eec7d8 https://github.com/autumnai/leaf/commit/58bfa92abd5721eae116...
- hobofan 11y agoWe wanted to make clear that we are not "just" doing deep learning with Leaf. A lot of other ML algorithms that don't fall under the deep learning label can benefit of the tools provided (e.g. solvers) and can be implemented as layers. While not too popular, there are papers showing this being done with e.g. a SVM[0]. [0] http://deeplearning.net/wp-content/uploads/2013/03/dlsvm.pdf http://deeplearning.net/wp-content/uploads/2013/03/dlsvm.pdf