Created
March 8, 2019 15:31
-
-
Save iwatake2222/35177989686dfe6a8e6837aa3816c100 to your computer and use it in GitHub Desktop.
Deep Learningアプリケーション開発_Anaconda環境
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
(tf_test01) ~/Desktop/win_share/CNN_NumberDetector/02_Tensorflow_Python$ conda list | |
# packages in environment at /home/tak/anaconda3/envs/tf_test01: | |
# | |
# Name Version Build Channel | |
_tflow_select 2.3.0 mkl | |
absl-py 0.7.0 py36_0 | |
astor 0.7.1 py36_0 | |
blas 1.0 mkl | |
bzip2 1.0.6 h14c3975_5 | |
c-ares 1.15.0 h7b6447c_1 | |
ca-certificates 2019.1.23 0 | |
cairo 1.14.12 h8948797_3 | |
certifi 2018.11.29 py36_0 | |
ffmpeg 4.0 hcdf2ecd_0 | |
fontconfig 2.13.0 h9420a91_0 | |
freeglut 3.0.0 hf484d3e_5 | |
freetype 2.9.1 h8a8886c_1 | |
gast 0.2.2 py36_0 | |
glib 2.56.2 hd408876_0 | |
graphite2 1.3.13 h23475e2_0 | |
grpcio 1.16.1 py36hf8bcb03_1 | |
h5py 2.8.0 py36h989c5e5_3 | |
harfbuzz 1.8.8 hffaf4a1_0 | |
hdf5 1.10.2 hba1933b_1 | |
icu 58.2 h9c2bf20_1 | |
intel-openmp 2019.1 144 | |
jasper 2.0.14 h07fcdf6_1 | |
jpeg 9b h024ee3a_2 | |
keras-applications 1.0.6 py36_0 | |
keras-preprocessing 1.0.5 py36_0 | |
libedit 3.1.20181209 hc058e9b_0 | |
libffi 3.2.1 hd88cf55_4 | |
libgcc-ng 8.2.0 hdf63c60_1 | |
libgfortran-ng 7.3.0 hdf63c60_0 | |
libglu 9.0.0 hf484d3e_1 | |
libopencv 3.4.2 hb342d67_1 | |
libopus 1.3 h7b6447c_0 | |
libpng 1.6.36 hbc83047_0 | |
libprotobuf 3.6.1 hd408876_0 | |
libstdcxx-ng 8.2.0 hdf63c60_1 | |
libtiff 4.0.10 h2733197_2 | |
libuuid 1.0.3 h1bed415_2 | |
libvpx 1.7.0 h439df22_0 | |
libxcb 1.13 h1bed415_1 | |
libxml2 2.9.9 he19cac6_0 | |
markdown 3.0.1 py36_0 | |
mkl 2019.1 144 | |
mkl_fft 1.0.10 py36ha843d7b_0 | |
mkl_random 1.0.2 py36hd81dba3_0 | |
ncurses 6.1 he6710b0_1 | |
numpy 1.16.2 py36h7e9f1db_0 | |
numpy-base 1.16.2 py36hde5b4d6_0 | |
olefile 0.46 py36_0 | |
opencv3 3.1.0 py36_0 menpo | |
openssl 1.1.1b h7b6447c_1 | |
pcre 8.42 h439df22_0 | |
pillow 5.4.1 py36h34e0f95_0 | |
pip 19.0.3 py36_0 | |
pixman 0.36.0 h7b6447c_0 | |
protobuf 3.6.1 py36he6710b0_0 | |
py-opencv 3.4.2 py36hb342d67_1 | |
python 3.6.8 h0371630_0 | |
readline 7.0 h7b6447c_5 | |
scipy 1.2.1 py36h7c811a0_0 | |
setuptools 40.8.0 py36_0 | |
six 1.12.0 py36_0 | |
sqlite 3.26.0 h7b6447c_0 | |
tensorboard 1.12.2 py36he6710b0_0 | |
tensorflow 1.12.0 mkl_py36h69b6ba0_0 | |
tensorflow-base 1.12.0 mkl_py36h3c3e929_0 | |
termcolor 1.1.0 py36_1 | |
tk 8.6.8 hbc83047_0 | |
werkzeug 0.14.1 py36_0 | |
wheel 0.33.1 py36_0 | |
xz 5.2.4 h14c3975_4 | |
zlib 1.2.11 h7b6447c_3 | |
zstd 1.3.7 h0b5b093_0 | |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
(tf_test01) C:\Users\tak\Desktop\CNN_NumberDetector\02_Tensorflow_Python>conda list | |
# packages in environment at C:\Users\tak\AppData\Local\conda\conda\envs\tf_test01: | |
# | |
_tflow_select 2.1.0 gpu | |
absl-py 0.7.0 py36_0 | |
alabaster 0.7.12 py36_0 | |
asn1crypto 0.24.0 py36_0 | |
astor 0.7.1 py36_0 | |
astroid 2.1.0 py36_0 | |
babel 2.6.0 py36_0 | |
backcall 0.1.0 py36_0 | |
blas 1.0 mkl | |
bleach 3.1.0 py36_0 | |
ca-certificates 2019.1.23 0 | |
certifi 2018.11.29 py36_0 | |
cffi 1.12.1 py36h7a1dbc1_0 | |
chardet 3.0.4 py36_1 | |
cloudpickle 0.8.0 py36_0 | |
colorama 0.4.1 py36_0 | |
cryptography 2.5 py36h7a1dbc1_0 | |
cudatoolkit 9.0 1 | |
cudnn 7.3.1 cuda9.0_0 | |
cycler 0.10.0 py36h009560c_0 | |
decorator 4.3.2 py36_0 | |
docutils 0.14 py36h6012d8f_0 | |
entrypoints 0.3 py36_0 | |
freetype 2.9.1 ha9979f8_1 | |
gast 0.2.2 py36_0 | |
grpcio 1.16.1 py36h351948d_1 | |
h5py 2.8.0 py36hf7173ca_2 | |
hdf5 1.8.20 hac2f561_1 | |
icc_rt 2019.0.0 h0cc432a_1 | |
icu 58.2 ha66f8fd_1 | |
idna 2.8 py36_0 | |
imagesize 1.1.0 py36_0 | |
intel-openmp 2019.1 144 | |
ipykernel 5.1.0 py36h39e3cac_0 | |
ipython 7.3.0 py36h39e3cac_0 | |
ipython_genutils 0.2.0 py36h3c5d0ee_0 | |
isort 4.3.8 py36_0 | |
jedi 0.13.3 py36_0 | |
jinja2 2.10 py36_0 | |
jpeg 9b hb83a4c4_2 | |
jsonschema 2.6.0 py36h7636477_0 | |
jupyter_client 5.2.4 py36_0 | |
jupyter_core 4.4.0 py36_0 | |
keras-applications 1.0.6 py36_0 | |
keras-base 2.2.4 py36_0 | |
keras-preprocessing 1.0.5 py36_0 | |
keyring 18.0.0 py36_0 | |
kiwisolver 1.0.1 py36h6538335_0 | |
lazy-object-proxy 1.3.1 py36hfa6e2cd_2 | |
libopencv 3.4.2 h20b85fd_0 | |
libpng 1.6.36 h2a8f88b_0 | |
libprotobuf 3.6.1 h7bd577a_0 | |
libsodium 1.0.16 h9d3ae62_0 | |
libtiff 4.0.10 hb898794_2 | |
markdown 3.0.1 py36_0 | |
markupsafe 1.1.1 py36he774522_0 | |
matplotlib 3.0.2 py36hc8f65d3_0 | |
mccabe 0.6.1 py36_1 | |
mistune 0.8.4 py36he774522_0 | |
mkl 2019.1 144 | |
mkl_fft 1.0.10 py36h14836fe_0 | |
mkl_random 1.0.2 py36h343c172_0 | |
nbconvert 5.3.1 py36_0 | |
nbformat 4.4.0 py36h3a5bc1b_0 | |
numpy 1.16.2 py36h19fb1c0_0 | |
numpy-base 1.16.2 py36hc3f5095_0 | |
numpydoc 0.8.0 py36_0 | |
opencv 3.4.2 py36h40b0b35_0 | |
openssl 1.1.1b he774522_0 | |
packaging 19.0 py36_0 | |
pandoc 2.2.3.2 0 | |
pandocfilters 1.4.2 py36_1 | |
parso 0.3.4 py36_0 | |
pickleshare 0.7.5 py36_0 | |
pip 19.0.3 py36_0 | |
prompt_toolkit 2.0.9 py36_0 | |
protobuf 3.6.1 py36h33f27b4_0 | |
psutil 5.5.0 py36he774522_0 | |
py-opencv 3.4.2 py36hc319ecb_0 | |
pycodestyle 2.5.0 py36_0 | |
pycparser 2.19 py36_0 | |
pyflakes 2.1.0 py36_0 | |
pygments 2.3.1 py36_0 | |
pylint 2.2.2 py36_0 | |
pyopenssl 19.0.0 py36_0 | |
pyparsing 2.3.1 py36_0 | |
pyqt 5.9.2 py36h6538335_2 | |
pyreadline 2.1 py36_1 | |
pysocks 1.6.8 py36_0 | |
python 3.6.8 h9f7ef89_7 | |
python-dateutil 2.8.0 py36_0 | |
pytz 2018.9 py36_0 | |
pywin32 223 py36hfa6e2cd_1 | |
pyyaml 3.13 py36hfa6e2cd_0 | |
pyzmq 18.0.0 py36ha925a31_0 | |
qt 5.9.7 vc14h73c81de_0 | |
qtawesome 0.5.6 py_0 | |
qtconsole 4.4.3 py36_0 | |
qtpy 1.6.0 py_0 | |
requests 2.21.0 py36_0 | |
rope 0.12.0 py36_0 | |
scipy 1.2.1 py36h29ff71c_0 | |
setuptools 40.8.0 py36_0 | |
sip 4.19.8 py36h6538335_0 | |
six 1.12.0 py36_0 | |
snowballstemmer 1.2.1 py36h763602f_0 | |
sphinx 1.8.4 py36_0 | |
sphinxcontrib 1.0 py36_1 | |
sphinxcontrib-websupport 1.1.0 py36_1 | |
spyder 3.3.3 py36_0 | |
spyder-kernels 0.4.2 py36_0 | |
sqlite 3.26.0 he774522_0 | |
tensorboard 1.12.2 py36h33f27b4_0 | |
tensorflow 1.12.0 gpu_py36ha5f9131_0 | |
tensorflow-base 1.12.0 gpu_py36h6e53903_0 | |
termcolor 1.1.0 py36_1 | |
testpath 0.4.2 py36_0 | |
tornado 5.1.1 py36hfa6e2cd_0 | |
traitlets 4.3.2 py36h096827d_0 | |
typed-ast 1.3.1 py36he774522_0 | |
urllib3 1.24.1 py36_0 | |
vc 14.1 h0510ff6_4 | |
vs2015_runtime 14.15.26706 h3a45250_0 | |
wcwidth 0.1.7 py36h3d5aa90_0 | |
webencodings 0.5.1 py36_1 | |
werkzeug 0.14.1 py36_0 | |
wheel 0.33.1 py36_0 | |
win_inet_pton 1.1.0 py36_0 | |
wincertstore 0.2 py36h7fe50ca_0 | |
wrapt 1.11.1 py36he774522_0 | |
xz 5.2.4 h2fa13f4_4 | |
yaml 0.1.7 hc54c509_2 | |
zeromq 4.3.1 h33f27b4_3 | |
zlib 1.2.11 h62dcd97_3 | |
zstd 1.3.7 h508b16e_0 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment