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

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 and Mac OSX platforms. If you have GPU and are using Linux, you may want to check mxnet-cu80mkl and mxnet-cu80 with CUDA-8.0 support, or mxnet-cu75mkl and mxnet-cu75 with CUDA-7.5 support. If you are using Linux without GPU, you may want to check mxnet-mkl with MKL support.

To install for other platforms (e.g. Windows) or for general installation guide, check Build Instruction.

Installation

To install, use:

pip install mxnet

Project details


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Files for mxnet, version 0.9.5.post1
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Filename, size mxnet-0.9.5.post1-cp27-cp27mu-manylinux1_x86_64.whl (8.7 MB) File type Wheel Python version cp27 Upload date Hashes View

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