Amazon SageMaker을 통한 손쉬운 Jupyter Notebook 활용하기 - 윤석찬 (AWS 테크에반젤리스트)

http://www.slideshare.net/awskorea/amazon-sage-maker-jupyter-notebook-channy-88646940?from_m_app=android
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** 설치된 모듈의 위치정보 등 알아내기


    --  pip show  설치된모듈이름



 



TensorFlow on Windows: “Couldn't open CUDA library cudnn64_5.dll”




First of all, note that cuDNN is not distributed with the rest of the CUDA toolkit, so you will need to download it separately from the NVIDIA website. On Windows, it is distributed as a ZIP archive, so you must extract it and find the directory containing cudnn64_5.dll. For example, if you extract it to C:\tools\cuda, the DLL will be in C:\tools\cuda\bin\cudnn64_5.dll. Finally, you can add it to your path by typing the following at the command prompt:


C:\> set PATH=%PATH%;C:\tools\cuda\bin

C:\> python

...

>>> import tensorflow as tf


 

 I didn't have such issues with TensorFlow 0.12.1 (installed with pip install tensorflow==0.12.1):

 



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KNL

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matplotlib install  -  http://matplotlib.org/faq/installing_faq.html


> pip install matplotlib


or 


> git clone git://github.com/matplotlib/matplotlib.git

> cd matplotlib

> python setup.py install

> python setup.py develop


matplotlib test 

http://matplotlib.org/faq/howto_faq.html#how-to-search-examples


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konlpy install - http://konlpy.org/ko/v0.4.3/install/


> pip install --upgrade pip

> pip install JPype1-0.5.7-cp27-none-win_amd64.whl


> pip install konlpy


Binary Install

Ensure you have installed Anaconda/Miniconda. Instructions can be found here.

Install from the conda-forge software channel:


conda install -c conda-forge jpype1


$ pip install wheel


jpype  download : http://www.lfd.uci.edu/~gohlke/pythonlibs/#jpype


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JAVA_HOME 설정 

java 설치 - http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html


환경변수 - JAVA_HOME  C:\Program Files\Java\jdk1.8.0_121


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To install this package with conda run: https://anaconda.org/anaconda/gensim


> conda install -c anaconda gensim=1.0.1


To install this package with conda run: https://anaconda.org/anaconda/scipy


> conda install -c anaconda scipy=0.19.0



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sklearn install


https://sourceforge.net/projects/scikit-learn/files/


sklearn test 

http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html


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Activate the conda environment by issuing the following command:


C:> activate tensorflow

 (tensorflow)C:>  # Your prompt should change 




예제 :: 

Saved model checkpoint to D:\PythonProject\cnn-text-classification-tf-master\runs\1490667625\checkpoints\model-1000



word2vec_example - https://gist.github.com/solaris33/8ce9913dea1aa4225876cbcfdd2963be#file-word2vec_example-py



Pycharm & tensorflow & Anaconda = http://yeramee.tistory.com/1


anaconda > tensorflow install : http://www.lfd.uci.edu/~gohlke/pythonlibs/#tensorflow





starting jupyter notebook

> jupyter notebook 

or 

> jupyter notebook --port 9999





5-1. 텐서플로우(TensorFlow)를 이용해 자연어를 처리하기(NLP) – Word Embedding(Word2vec) :: http://solarisailab.com/archives/374


jupyter notebook 사용하기 : http://goodtogreate.tistory.com/entry/IPython-Notebook-%EC%84%A4%EC%B9%98%EB%B0%A9%EB%B2%95




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