Introduction to mxnet Deep Learning Library

Introduction to mxnet Deep Learning Library

Abstract: Mxnet is a deep learning library that supports languages such as C + +, Python, R, Scala, Julia, Matlab, and JavaScript; Support command and symbol programming; Can run on CPU,GPU, clusters, servers, desktops or mobile devices. Mxnet is the cxxnet of the next generation, Cxxnet learn from the idea of Caffe, but in the realization of more clean.

Mxnet Installation:

This is for Ubuntu 12+ above the installation process of the system, first install Git (if you do not have on the computer):

if Not already installed. sudo apt-get updatesudoinstall git

We need to use Git to clone the Mxnet source repository locally,

" sudo " git clone https: // github.com/dmlc/mxnet.git ~/mxnet/mxnet--recursive  ~/mxnet/mxnet/setup-install-mxnet-ubuntu. SH   in your ~/~/.BASHRC

The contents of the install-mxnet-ubuntu.sh are:

#!/usr/bin/Envbash####################################################################### This script installs MXNet forPython along with all required dependencies on a Ubuntu machine.# tested on Ubuntu14.0+distro.##################################################################### #set-eEcho "installing Build-essential, Libatlas-base-dev, Libopencv-dev ..."sudoapt-Get updatesudoApt-getInstall-Y build-essential Libatlas-base-dev libopencv-DevEcho "installing MXNet core. This can take few minutes ..."CD~/mxnet/mxnet/ Make-j$ (Nproc)Echo "Installing Numpy ..."# Install NumPysudoApt-getInstallpython-NumPyEcho "installing Python setuptools ..."sudoApt-getInstallpython-SetuptoolsEcho "Installing Python package for MXNet ..."CD python;sudoPython setup.pyInstallEcho "Adding MXNet Path to your ~/.BASHRC file"Echo "Export Pythonpath=~/mxnet/mxnet/python">> ~/. BASHRCEcho "done! MXNet for Python installation are complete. Go ahead and explore MXNet with Python:-)" 

In this computer, build-essential, Libatlas-base-dev, Libopencv-dev is the latest version, NumPy and Python have been installed.

Mxnet Getting Started:

Reference documents:

[1]mxnet:http://mxnet.readthedocs.io/en/latest/

[2]mxnet-api 1.10 Document: https://turi.com/products/create/docs/graphlab.mxnet.html

[3] Tutorials-mxnet 0.7.0 Documentation: mxnet.io/tutorials/index.html

[4] MXNet-Algorithm Group: suanfazu.com/t/mxnet/13291

Introduction to mxnet Deep Learning Library