charlescearl / deepracket Goto Github PK
View Code? Open in Web Editor NEWA simple starting point for doing deep learning in Racket
License: MIT License
A simple starting point for doing deep learning in Racket
License: MIT License
Please add a licence.
Kind regards
Stephen
The strength of Racket is its support for advanced DSL design. This should be used to develop a facility to easily specify network architectures.
The code base consists of code that wraps the NVIDIA cuDNN library and the higher level Dynet Deep Learning API. These should be at least separated into two directories, if not different repos.
Examples should be provided in the repository for defining and training neural network architectures in DyNet.
The DyNet library now provides a C API. Using this should be more in line with the foreign function interface provided by Racket.
This is great - please add to Racket Packages catalog so others can find out about it!
With the goal of eventually providing a Racket module, documentation should be developed that conforms to Racket best practices.
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