DeepDarkFantasy: A DSL for creating neural network.

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Deep Dark Fantasy(DDF) is a domain specific language that allow one to automatically derive derivative of program in DDF. Hence, one can write neural network in DDF and use the derivative program for gradient descend.

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Versions [RSS] 0.0.1, 0.0.1.1, 0.2017.3.28, 0.2017.3.30, 0.2017.4.1, 0.2017.4.5, 0.2017.4.9, 0.2017.4.19, 0.2017.8.4, 0.2017.8.7, 0.2017.8.8, 0.2017.8.9, 0.2017.8.10, 0.2017.8.11, 0.2017.8.12, 0.2017.8.13, 0.2017.8.14, 0.2017.8.15, 0.2017.8.16, 0.2017.8.17, 0.2017.8.18, 0.2017.8.19
Dependencies base (>=4.9.0.0 && <5), bimap, constraints, containers, mtl, random, recursion-schemes, template-haskell [details]
Tested with ghc ==8.0.1, ghc ==8.0.2, ghc ==8.2.1
License LicenseRef-Apache
Author
Maintainer lolisa@marisa.moe
Category DSL
Source repo head: git clone https://github.com/ThoughtWorksInc/DeepDarkFantasy
Uploaded by MarisaVeryMoe at 2017-08-19T20:43:15Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 16194 total (22 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-08-19 [all 1 reports]