DConf 2019: A Pragmatic Approach for Machine Learning in D -- Jens Mueller

Slides are available at

In this talk I will present an approach to perform machine learning as part of our existing D applications at Dunnhumby. It covers not only our integration of the MXNet deep learning library, but also why we chose this option in comparison. Our implementation is split into two parts: bindings for the MXNet C API and convenience wrappers. I will present and discuss the exposed API for solving learning problems. Its building blocks are common across major learning frameworks, namely, n-dimensional arrays, (stochastic) gradient calculations and optimization algorithms.

Finally, I will show how you can solve your machine learning problem using the presented library.

dlang,dconf,machine learning,dconf 2019,d language,