Links[{"label":"ggmlR.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/refman/ggmlR.html"},{"label":"ggmlR.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/ggmlR.pdf"},{"label":"Autograd Engine","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/autograd-engine.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/autograd-engine.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/autograd-engine.R"},{"label":"Data-Parallel Training","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/data-parallel-training.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/data-parallel-training.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/data-parallel-training.R"},{"label":"Using ggmlR as a Backend in Your Package","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/embedding-ggmlR.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/embedding-ggmlR.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/embedding-ggmlR.R"},{"label":"GPU / Vulkan Backend","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/gpu-vulkan.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/gpu-vulkan.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/gpu-vulkan.R"},{"label":"Keras-like API in ggmlR","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/keras-like-api.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/keras-like-api.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/keras-like-api.R"},{"label":"mlr3 Integration","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/mlr3-integration.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/mlr3-integration.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ggmlR/vignettes/mlr3-integration.R"}]
TextReference manual: ggmlR.html , ggmlR.pdf Vignettes: Autograd Engine ( source , R code ) Data-Parallel Training ( source , R code ) Using ggmlR as a Backend in Your Package ( source , R code ) GPU / Vulkan Backend ( source , R code ) Keras-like API in ggmlR ( source , R code ) mlr3 Integration ( source , R code ) ONNX Model Import ( source , R code ) Quantization ( source , R code ) tidymodels / parsnip Integration ( source , R code )