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Julia is a blast to do research on this stuff in, if you want to go beyond the basics like TensorFlow and PyTorch allows. The 2020's is going to be the decade o
by ChrisRackauckas 7y ago
Julia is a blast to do research on this stuff in, if you want to go beyond the basics like TensorFlow and PyTorch allows. The 2020's is going to be the decade of mixing numerical PDEs with machine learning IMO, and Julia already has a lot of features along these lines that are missing from "traditional ML" libraries.
- bigmit37 7y agoInteresting. I was going to go through their yearly conference talks to get an sense of Julia’s capabilities. JuliaCon2019 etc on youtube. Is that the best way?
- ChrisRackauckas 7y agoPossibly. On this topic (machine learning, differentiable programming, GPU and parallel computing) I'd recommend the following videos: https://youtu.be/FGfx8CQHdQA https://youtu.be/FGfx8CQHdQA https://youtu.be/OcUXjk7DFvU https://youtu.be/OcUXjk7DFvU https://arxiv.org/abs/1907.07587 https://arxiv.org/abs/1907.07587 https://youtu.be/7Yq1UyncDNc https://youtu.be/7Yq1UyncDNc https://youtu.be/_E2zEzNEy-8 https://youtu.be/_E2zEzNEy-8 https://youtu.be/6ntJ_al4oXA https://youtu.be/6ntJ_al4oXA https://youtu.be/HfiRnfKxI64 https://youtu.be/HfiRnfKxI64
- deleted 7y ago[deleted]