August 2018
Intermediate to advanced
378 pages
9h 9m
English
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, ...