** 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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