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

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 CUDA-9.0 for GPU acceleration. Also checkout other versions: mxnet-cu90mkl, mxnet-cu75mkl, and mxnet-cu75, 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, Raspberry Pi/ARM) or other versions, check Installing MXNet for instructions on building from source.

Installation

To install:

pip install mxnet-cu90

Release History

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1.2.0b20180224

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1.2.0b20180223

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1.2.0b20180222

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1.2.0b20180221

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1.1.0

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1.0.1b20180131

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1.0.1b20180128

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1.0.1b20180127

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1.0.1b20180126

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1.0.1b20180125

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1.0.1b20180124

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1.0.1b20180123

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1.0.1b20180103

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1.0.1b20171231

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1.0.1b20171225

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1.0.0

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1.0.0b20171224

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1.0.0b20171223

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0.12.1

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0.12.1b20171205

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0.12.1b20171201

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This version
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0.12.0

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0.12.0b20171102

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0.12.0b20171101

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0.12.0b20171030

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0.12.0b20171028

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0.12.0b20171027

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0.12.0b20171026

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0.12.0b20171021

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0.11.1b20171009

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_cu90-0.12.0-py2.py3-none-manylinux1_x86_64.whl
(252.8 MB) Copy SHA256 Hash SHA256
Wheel py2.py3 Oct 31, 2017

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