DeepDarkFantasy: A DSL for creating neural network.
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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- DeepDarkFantasy-0.2017.3.28.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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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 |
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Dependencies | base (>=4.9.0.0 && <=4.9.1.0), constraints, mtl, random [details] |
License | LicenseRef-Apache |
Author | |
Maintainer | lolisa@marisa.moe |
Category | DSL |
Source repo | head: git clone https://github.com/ThoughtWorksInc/DeepDarkFantasy |
Uploaded | by MarisaVeryMoe at 2017-03-29T04:59:05Z |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 16078 total (13 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
Your Rating | |
Status | Docs available [build log] Last success reported on 2017-03-29 [all 1 reports] |