Timeline for Training Neural Networks on Cloud GPUs (Wolfram Cloud / AWS / Paperspace /etc)
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 16, 2020 at 19:49 | comment | added | Carl Lange | (No disrespect intended with the un-accept - I did so because there is now official support within the language to do this. Your answer is still totally valid and useful, but now especially so for those running versions below 12.2. Thanks for the original answer!) | |
| Apr 12, 2020 at 8:42 | vote | accept | Carl Lange | ||
| Dec 16, 2020 at 19:48 | |||||
| May 21, 2019 at 11:17 | comment | added | Fortsaint | @CarlLange Yes I confirm. What I haven't tested yet is the possibility to have a working Wolfram Engine installation on different system simultaneously, something you could definitively have with the previous CDFPlayer kernel. | |
| May 20, 2019 at 17:21 | comment | added | Carl Lange | I never actually got around to testing this, but the new Wolfram Engine seems suitable for this as well. | |
| Dec 10, 2018 at 17:40 | comment | added | Fortsaint | @CarlLange Yes, the Mathkernel that gets installed with the CDF seems able to do the same things the Mathematica one does; it might be the very same. | |
| Dec 10, 2018 at 15:07 | comment | added | Carl Lange | That's really helpful. I didn't realise CDFPlayer would be usable for training my network. I'll try this out over the next few weeks and approve your answer then; in theory looks good! | |
| Dec 10, 2018 at 13:28 | history | answered | Fortsaint | CC BY-SA 4.0 |