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Releases: Ricardicus/recurrent-neural-net

Version 1.2

23 Dec 16:27
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This version contains some corrections and improvements from
the previous release:

  • storing .net files during training (-st flag) now also includes the header section
  • added new flags -vr and -c
  • added github integrated CI to the repository (workflows, travis)
  • Added an example in the README.md that illustrates how
    one can train the same network on multiple files.

Happy Holidays
Rickard

Version 1.1

22 Dec 14:07
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From here on, binary files have a supplied header
section. It makes previous binary files invalid, but
will handle things much better in the future.

Major change is that the feature set is stored in the
binary file, making it possible to train the same network
over more than one datafile. The problem of having all data
in memory is thus overcome, finally.

In the back seat of the car, using my phone as a personal
hotspot, on my way to celebrate Jul. Merry Christmas!
Rickard

Version 1.0

01 Jun 09:53
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For future reference, this version will be tagged as v1.0.
I have built it for Windows, Linux and macOS.

It works as a command terminal program used for getting the weights
of the network. These weights are stored in either ascii format (JSON)
or as raw bytes. The HTML application can be used to as inspiration
on how these weights can be put into use.

Installation

Consult the README file.