LayersΒΆ
Layers is intended for scientific programming, with complex number support and periodic boundary condition and most importantly, extensible.
Our project repo is https://159.226.35.226/jgliu/PoorNN.git
Here I list its main features
- low abstraction
- complex number support
- periodic boundary convolution favored
- numpy based, c/fortran boost
- easy for extension, using interfaces to unify layers, which means layers are standalone modules.
But its cuda version is not realized yet.
- Contents
- Tutorial: Tutorial containing instructions on how to get started with Layers.
- Examples: Example implementations of mnist networks.
- Code Documentation: The code documentation of Layers.