官术网_书友最值得收藏!

MXNet

MXNet is a deep learning library developed by Amazon. It can run on CPUs and GPUs. For this chapter, running on CPUs will suffice.

Apache MXNet is a flexible and scalable deep learning framework that supports convolutional neural networks (CNNs) and long short-term memory networks (LSTMs). It can be distributed across multiple processors/machines and achieves almost linear scale on multiple GPUs/CPUs. It is easy to install on R and it supports a good range of deep learning functionality for R. It is an excellent choice for writing our first deep learning model for image-classification.

MXNet originated at Carnegie Mellon University and is heavily supported by Amazon; they chose it as their default deep learning library in 2016. In 2017, MXNet was accepted as the Apache Incubator project, ensuring that it would remain open source software. It has a higher-level programming model similar to Keras, but the reported performance is better. MXNet is very scalable as additional GPUs are added.

To install the MXNet package for Windows, run the following code from an R session:

cran <- getOption("repos")
cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN"
options(repos = cran)
install.packages("mxnet")

This installs the CPU version; for the GPU version, you need to change the second line to:

cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cu92"

You have to change cu92 to cu80, cu90 or cu91 based on the version of CUDA installed on your machine. For other operating systems (and in case the this does not work, as things change very fast in deep learning), you can get further instructions at https://mxnet.incubator.apache.org/install/index.html.

主站蜘蛛池模板: 铁岭市| 肃宁县| 阳曲县| 林芝县| 壶关县| 五指山市| 枞阳县| 济源市| 天等县| 栖霞市| 来宾市| 凤庆县| 正宁县| 广南县| 开封市| 四平市| 大荔县| 普兰县| 陵川县| 兴安县| 和林格尔县| 准格尔旗| 静宁县| 偃师市| 睢宁县| 阜宁县| 盐源县| 南昌县| 桑日县| 南京市| 石泉县| 保定市| 延吉市| 公安县| 和政县| 蒙山县| 新龙县| 正蓝旗| 洛阳市| 彰化县| 勃利县|