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Deep Learning with Elixir
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.
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I replaced the matrix calculation with the fast Matrex module.
I would like to thank the author, Mr. Versilov.
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Deep Pipe has become faster with Matrex and CBLAS.
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This is a brief introduction.
https://medium.com/@kenichisasagawa/deep-learning-with-elixir-78a62a61e6bd
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