Example of Deep Learning With R and Keras - DZone AI

Users of R have long been deprived of the opportunity to join the deep learning movement while remaining within the same programming language. With the release of MXNet, the situation began to change, but the frequent updates to the original documentation and changes that break backward compatibility still limit the popularity of this library. TensorFlow, Theano, CNTK) combined with detailed documentation and a lot of examples looks much more attractive. This article presents a solution to the problem of segmenting images in Carvana Image Masking Challenge, in which you want to learn how to separate cars photographed from 16 different angles will be dismantled. The neural network part is fully implemented on Keras, image processing is answered by magick (interface to ImageMagick), and parallel processing is provided by parallel doParallel foreach (Windows) or parallel doMC foreach (Linux).