sym_num
I am creating a framework for Deep Learning.
The network is described by macros as follows.
defnetwork init_network2(_x) do
_x |> f(5,5) |> flatten
|> w(576,100) |> b(100) |> sigmoid
|> w(100,10) |> b(10) |> sigmoid
end
Process backpropagation in parallel.
In the future, we will introduce Hastega as a GPU-based engine.
Where Next?
Trending in Discussions
Other Trending Topics
Chat & Discussions>Discussions
Latest on Elixir Forum
Sponsor Spotlight
Deploy Phoenix to your own VPS with PaaS ease: push-to-deploy, zero downtime, auto SSL, managed Postgres. 14-day free trial at potions.io
Categories:
Sub Categories:
Forums
Popular Tags
- #ecto
- #liveview
- #troubleshooting
- #learning-elixir
- #deployment
- #library
- #erlang
- #testing
- #genserver
- #mix
- #absinthe
- #remote-other
- #otp
- #plug
- #how-to-question
- #macros
- #postgres
- #channels
- #elixirconf
- #exunit
- #discussion
- #code-sync
- #javascript
- #podcasts
- #onsite
- #dialyzer
- #docker
- #authentication
- #umbrella
- #full-time-contract
- #podcasts-by-brainlid
- #ecto-query
- #elixir-ls
- #blog-post
- #ai
- #phoenix_html
- #iex
- #graphql
- #elixirconf-us
- #genstage
- #websockets
- #supervisor
- #advent-of-code
- #distillery
- #processes
- #api
- #forms
- #hex
- #security
- #metaprogramming
Our Sponsors
Build Elixir applications with speed and confidence.
Supporting innovation across the BEAM ecosystem.
We build reliable cloud platforms for business-critical systems.
Catch errors, track performance, monitor hosts and more.
Error tracking, logs, uptime, and Just Enough APM. Built for developers.
Practical resources that improve the lives of professional developers.
Producing high quality Elixir screencasts since 2017.
The deployment platform built for Elixir: PaaS ease, VPS control.
The team behind Membrane, Popcorn, LiveDebugger. Available for hire.
Courses that'll move you from confusion to "Aha, now I get it!"
Showing Posts 1 to 9- Show Best Posts
- Show All (oldest first)
- Show All (newest first)
CinderellaMan
This is really cool.
I was wondering did you check out/compare different matrix related Elixir libs?
Quick research resulted in finding this interesting one at github
/a115/exmatrix(I can’t post links to github :O)Cool thing about it is that it’s “implementing a parallel matrix multiplication” which improves speed almost quadratically.
Ps. Some non-PhD-required type of description would be great as well
sym_num
Thank you.
sym_num
This is a brief introduction.
https://medium.com/@kenichisasagawa/deep-learning-with-elixir-78a62a61e6bd
LukeWood
What an awesome representation of the underlying operations.
Pipelines are such an idiomatic way to represent neural nets.
Nit comment: any reason the _x has to be underscored? Something to do with the way the macros work I’m guessing?
sym_num
Thank you for reply.
Underbar like _x is for avoiding compiler warnings. Also works as x.
peerreynders
Naming Conventions:
sym_num
We are considering using CBLAS with the Matrex library to achieve practical speed.
https://github.com/versilov/matrex
sym_num
I replaced the matrix calculation with the fast Matrex module.
I would like to thank the author, Mr. Versilov.
sym_num
Deep Pipe has become faster with Matrex and CBLAS.
https://medium.com/@kenichisasagawa/speed-and-accuracy-deep-learning-with-elixir-5a38afdcc9e1