C++ machine learning library
Primary aim of the dinrhiw is to be linear algebra library and machine learning library. For this reason dinrhiw implements PCA and neural network codes. Currently, the neural network code only supports:
- hamiltonian monte carlo sampling (HMC) and simple bayesian neural network
- second order L-BFGS search
- gradient descent (backpropagation)
As well as mathematical routines for arbitrary precision mathematics, hermite curve interpolation and many other things.
1 November 2016
Leaders and contributors
Resources and communication
|Required to build||blas|
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