mardabx
mardabx t1_iw8j67a wrote
I am not ML scientist by any means, but I do know enough about programming to give my 3 cents.
Erlang is a very scalable horizontally and resilient, but not very performant. To scale upwards you will most likely need r/Rust, which already has some efforts put into ML and efficient horizontal scaling. If you insist on using Erlang/Elixir for base, do note that you can use Rust to speed up performance-sensitive parts of your project.
mardabx t1_is1em63 wrote
Reply to comment by ThrowThisShitAway10 in [D] Simple Questions Thread by AutoModerator
Well yes, but it would be nice to have that characterization be composed from a given set of available operations
mardabx t1_irt4kob wrote
Reply to [D] Simple Questions Thread by AutoModerator
What type of network would be best suited to turn a source (e.g. an image bitmap) into a definition of system of known components (in that example a component would be an image processing operation) needed to regenerate approximation of that source?
mardabx t1_iwaq23m wrote
Reply to comment by abhitopia in [Project] Erlang based framework to replace backprop using predictive coding by abhitopia
Fun sidenote: there have been at least 2 projects on BEAM-compatible VMs in Rust, and presentation on one of them looks like a good Erlang-centric explainer on reasons for doing so.