...Applications include scripting, hardware bring-up, rapid prototyping, and system extensions.
Unlike Lua or Python, Ficl acts as a component of your system - you feed it stuff to do, it does the stuff, and comes back to you for more. You can export compiled code to Ficl, execute Ficl code from your compiled code, or interact.
Your choice.
...It is powered by an 18650 and I put it all in a medicine bottle.
A description of it's construction, as simple as it is, is at an instructable here: https://www.instructables.com/id/Did-We-Feed-the-Pets/
Current draw:
Awake: 5 mA
Sleeping: 0.13 uA (!)
...RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data with large size.
angif fork with transparency layers (proof of concept implementation)
...Workflow: import truecolor image to GIMP, export 24RAW from GIMP, feeding to rawtogif.exe e.g. "rawtogif.exe 1024 768 sunflower.raw"
output a uncompressed (no LZW compression) GIF, needs to be feed to gifsicle for reasonable size.
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...Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.
Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
User friendly application with graphical interface, for creating and training
a multi-layer feed-forward neural-networks. The application is intended for systems of GRID computation.