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MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0.

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 Windows only, and requires CUDA-8.0 for GPU acceleration. Also checkout other versions: mxnet-cu80mkl, mxnet-cu80, mxnet-cu75mkl, and mxnet-cu75.

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

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

Installation

To install: bash pip install mxnet-cu80-win

Release History

Release History

This version
History Node

0.9.5

Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mxnet_cu80_win-0.9.5-1-py2.py3-none-win_amd64.whl (357.1 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 5, 2017
mxnet_cu80_win-0.9.5-2-py2.py3-none-win_amd64.whl (163.8 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 7, 2017
mxnet_cu80_win-0.9.5-3-py2.py3-none-win_amd64.whl (164.1 MB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 9, 2017

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