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The maintainers of major DL frameworks like TF and PyTorch intentionally target an ever-wider set of use-cases beyond deep learning, and would not chop out non-
by claytonjy 9y ago
The maintainers of major DL frameworks like TF and PyTorch intentionally target an ever-wider set of use-cases beyond deep learning, and would not chop out non-DL functionality.
There's many cool non-DL projects using these libraries for fast computation like Pyro (PyTorch) & Greta (TensorFlow), and the community is starting to shift away from DL-specific vocabulary towards terms like "differentiable programming". Deep learning is just one use of this broader paradigm.