Build a machine learning environment natively on Windows 10 (x64)

Purpose

Learn machine learning in windows environment

At first, I want an environment that is as plain as possible.

result

Stable operation in the following environment

item version
python 3.5.3
CUDA 8.0
cuDNN 5.1 for 8.0
Visual Studio community 2015 update1

Compare using the chainer sample (chainer / examples / mnist / train_mnist.py) as it is as a benchmark of processing time. The elapsed time (elapsed_time) when 20 epoch was rotated with the default was compared in the existing environment.

Use name CPU benchmark
mobile GODWIN Atom Z8700 1.5h
Note Lenovo X250 i5 15m
desktop self made i5 15m
GPU usage GT 730 3m
GPU update GTX 1080ti 1m

I bought 1080ti in a hurry, but GT730 was enough for studying for the time being orz. Also, I am grateful for the existence of GPD WIN, which allows GUI operation of GPU machines even on the go.

python environment

python Tensorflow 1.01 did not work under python 3.6 system environment Stable with 3.53 (x64) downloaded from the official website

For other general-purpose libraries, follow the steps below.

> python -m pip install --upgrade pip
> python -m pip install --upgrade -I setuptools
> python -m pip install ipython
> python -m pip install numpy
> python -m pip install pandas
> python -m pip install matplotlib

Machine learning library

tensorflow No difficulty in gaining

> python -m pip install tensorflow

On GPU-enhanced machines

> python -m pip install tensorflow-gpu

chainer There is no particular difficulty in operating the CPU

> python -m pip install chainer

I used the MNIST sample to compare the processing performance of each machine. In order to run this on GPU, it is necessary to install VS and I am addicted to it.

sklearn I stumbled. Requires numpy + mkl and scipy Download .whl respectively as it was not available for online pip installation

wheels

> python -m pip install "numpy-1.12.1+mkl-cp35-cpm35-win_amd64.whl"
> python -m pip install "scipy-0.19.0-cp35-cp35m-win_amd64.whl"
> python -m pip install sklearn

sklearn is used for trial implementation of SVM.

Use of GPU

CUDA I am using it because 8.0 has been released. cuda_8.0.61_win10.exe

cuDNN You need to create an account to download. As soon as I declared the purpose of use for business use ticks, he issued an account.

v6.0 for CUDA 8.0 was released, but NG. cuDNN v5.1 (Jan 20, 2017), for CUDA 8.0 is used.

The entity is just like a DLL module used via CUDA, so you can put it where you can see it. He passed me through the path when installing CUDA "\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0" I put it in.

If you try running mmist_with_sumaries.py etc. from the tensorflow tutorial using GPU If you don't see "cupti64_80.dll", you may get angry. "\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\extras\CUPTI\libx64" I had to give it through an additional path.

Other

VisualStudio I installed it because I went to use the compiler from CUDA or cuDNN for the operation of the chainer sample. Stable with VS 2015 community update 1.

I was super addicted. It cannot be used from CUDA after 2015 update2. VS 2013 community may be enough. In the first place, VS official is already 2017. I can't find a link to a previous version

Visual Studio Community 2015 with update 1(.iso)

Download sample

Git DL and use git for windows 2.12.2 (2) from github.io

MNIST sample

> git clone https://github.com/tensorflow/tensorflow.git
> cd tensorflow\tensorflow\examples\tutorials\mnist
> python mnist_softmax.py

chainer sample

> git clone https://github.com/pfnet/chainer.git
> cd chainer/examples/mnist/train_mnist.py
> python train_mnist.py

octave v4.2.1(x64)

Useful for trial vector / matrix operations and visualization of results. After taking Coursera Machine Learning, I experienced the convenience. I can't write any code to check the operating principle. Instead of MATLAB.

v4.0.0 is told to avoid.

Recommended Posts

Build a machine learning environment natively on Windows 10 (x64)
Build a machine learning environment
Build a machine learning Python environment on Mac OS
Build a python machine learning study environment on macOS sierra
Build a machine learning environment on mac (pyenv, deeplearning, opencv)
Simply build a Python 3 execution environment on Windows
Build a Python machine learning environment with a container
Build Python environment on Windows
Build python environment on windows
Build a GVim-based Python development environment on Windows 10 (3) GVim8.0 & Python3.6
Build a GVim-based Python development environment on Windows 10 (1) Installation
Build a Python development environment on Mac OS X
Build a machine learning application development environment with Python
Build a python3 environment on CentOS7
Build an environment for machine learning using Python on MacOSX
Build a machine learning scikit-learn environment with VirtualBox and Ubuntu
Build a GVim-based Python development environment on Windows 10 (2) Basic settings
Build a PyData environment for a machine learning study session (January 2017)
Build a machine learning environment using PyCharm on Ubuntu environment (TensorFlow will also be introduced!)
Until you create a machine learning environment with Python on Windows 7 and run it
Python 2.7, 3.4, 3.5 extension module build environment on Windows
Build a 64-bit Python 2.7 environment with TDM-GCC and MinGW-w64 on Windows 7
Build a python environment on MacOS (Catallina)
Building a Windows 7 environment for getting started with machine learning with Python
Create a Linux virtual machine on Windows
Build a Python + OpenCV environment on Cloud9
Creating a development environment for machine learning
Build AI / machine learning environment with Python
[Definitive Edition] Building an environment for learning "machine learning" using Python on Windows
Quickly build a python environment for deep learning and data science (Windows)
Build a "Deep learning from scratch" learning environment on Cloud9 (jupyter miniconda python3)
Build a LAMP environment on your local Docker
Build a WardPress environment on AWS with pulumi
Build a Django environment on Raspberry Pi (MySQL)
Build a python environment with ansible on centos6
Build a Python environment on Mac (Mountain Lion)
EV3 x Pyrhon Machine Learning Part 1 Environment Construction
Build a Python development environment on your Mac
Build a Kubernetes environment for development on Ubuntu
Build a Python development environment on Raspberry Pi
Build TensorFlow on Windows
Build XGBoost on Windows
Build a Django development environment using pyenv-virtualenv on Mac
Build an interactive environment for machine learning in Python
# 2 Build a Python environment on AWS EC2 instance (ubuntu18.04)
Build a Python extension for E-Cell 4 on Windows 7 (64bit)
Building a TensorFlow environment that uses GPU on Windows 10
How to build a Django (python) environment on docker
Procedure for building a CDK environment on Windows (Python)
Build a Python development environment using pyenv on MacOS
Create a decent shell and python environment on Windows
Memo for building a machine learning environment using Python
How to build a Python environment on amazon linux 2
Create a Python development environment on OS X Lion
Create a machine learning environment from scratch with Winsows 10
You don't need to install Anaconda to build a machine learning environment. Let's use Miniconda
I tried to build an environment for machine learning with Python (Mac OS X)
Prepare Chainer environment on Windows
Build a LAMP environment [CentOS 7]
Django environment development on Windows 10
Machine learning environment construction macbook 2021