This is going to sound harsh, but those posts seem quite naive - a three layer neural network is not “deep learning”, and using Erlang/Elixir processes as individual neurons would scale terribly. DL networks are essentially a pipeline of tensors that transform input tensors into output tensors. Horizontal scaling via distributed computing is horribly inefficient for this - you need massive hardware parallelism, e.g., GPUs via CUDA. Elixir might have some promise as a front end to TensorFlow or another C/C++/Rust library, but IMO implementing things in pure Elixir is a non-starter for anything but toy problems.
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