Skip to main content

MXNet is a deep learning framework designed for both efficiency and flexibility.

Project description

MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of deep learning programs together to maximize the efficiency and your productivity.

Prerequisites

This package supports Linux platform only, and requires that CUDA-8.0 and cuDNN-5.1 are already installed, along with the proper NVIDIA driver. For package with CUDA-7.5 support on Linux, check mxnet-cu75.

To download, check CUDA download and cuDNN download pages. For more instructions, check CUDA Toolkit online documentation.

To install for other platforms (e.g. Windows) or other versions of CUDA or cuDNN, check Build Instruction.

Installation

To install:

pip install mxnet-cu80

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
mxnet_cu80-0.9.3a0-cp27-cp27mu-manylinux1_x86_64.whl (51.9 MB) Copy SHA256 hash SHA256 Wheel cp27 Feb 14, 2017
mxnet_cu80-0.9.3a0-cp34-cp34m-manylinux1_x86_64.whl (51.9 MB) Copy SHA256 hash SHA256 Wheel cp34 Feb 14, 2017
mxnet_cu80-0.9.3a0-cp35-cp35m-manylinux1_x86_64.whl (51.9 MB) Copy SHA256 hash SHA256 Wheel cp35 Feb 14, 2017
mxnet_cu80-0.9.3a0-cp36-cp36m-manylinux1_x86_64.whl (51.9 MB) Copy SHA256 hash SHA256 Wheel cp36 Feb 14, 2017

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page