April 2020
Intermediate to advanced
330 pages
7h 44m
English
Content preview from Hands-On Deep Learning with R
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Installing MXNet
There are multiple ways to install MXNet. The following code is the easiest installation instruction for setting up the CPU version of MXNet:
cran <- getOption("repos") cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/" options(repos = cran) install.packages("mxnet")
For the GPU support, use the following installation code:
cran <- getOption("repos") cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cu92" options(repos = cran) install.packages("mxnet")
OpenCV and OpenBLAS are required to use MXNet. If you need to install these, you can do so through one of the following options.
For macOS X, Homebrew can be used to install these libraries:
- If Homebrew ...
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