BigDL
BigDL[2] is a distributed deep learning framework for Apache Spark, created by Jason Dai at Intel.
| Developer(s) | Intel |
|---|---|
| Repository | https://github.com/intel-analytics/BigDL |
| Type | Library for deep learning |
| License | Apache 2.0[1] |
| Website | BigDL: Distributed Deep Learning Library for Apache Spark |
| Part of a series on |
| Machine learning and data mining |
|---|
|
Theory |
|
Machine-learning venues |
Features
Applications
gollark: It needs to be pastebin.com/**raw**/whatever.
gollark: You can get the time/date in UTC and localtime with `os.date` or something, and Unix time, but I don't think there's a way to parse dates.
gollark: The rest of `pastebin` is mostly just argument parsing. Well, and handling other stuff like `put` and `run`.
gollark: The *important* bit is just that it downloads the *raw* file from pastebin, then writes it to startup.
gollark: ```lualocal function update() local h, err = http.get("https://pastebin.com/raw/whatever") if not h then printError(err) return end local f = fs.open("startup", "w") f.write(h.readAll()) f.close() h.close()end```
See also
- Comparison of deep learning software
References
- "BigDL LICENSE". GitHub. 31 March 2020.
- "BigDL Project". bigdl-project.github.io. Retrieved 2017-12-19.
- "BigDL: Distributed Deep Learning Library for Apache Spark". GitHub. 31 March 2020.
External links
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