安裝無數次，博主tensorflow-gpu終於能用了，卻沒有及時博客，n天之後，博主忘記了安裝細節，在更新anaconda後tensorflow崩潰，博主也崩潰了
於是乎，就有了這篇博客，先說一下，現在我還是記不清安裝細節，等過兩天我的tensorflow再度崩潰並不能修復時，我會嘗試重新安裝並且記錄在博客，請來查找續進行安裝，今天這篇博客沒多大意思.....今天發生的事和解決方法（可能並不適用所有電腦）：
另外，這個tensorflow-gpu版本怪事特別多，尤其是版本匹配問題，我在這放上我的各個包的版本，大家僅供參考！！！
博主使用的CUDA版本V10.0
python：Python 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
Package Version
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absl-py 0.8.0
alabaster 0.7.12
anaconda-client 1.7.2
anaconda-project 0.8.3
asn1crypto 0.24.0
astor 0.8.0
astroid 2.2.5
astropy 3.2.1
atomicwrites 1.3.0
attrs 19.1.0
Babel 2.7.0
backcall 0.1.0
backports.os 0.1.1
backports.shutil-get-terminal-size 1.0.0
beautifulsoup4 4.8.0
bitarray 1.0.1
bkcharts 0.2
bleach 3.1.0
bokeh 1.3.4
boto 2.49.0
Bottleneck 1.2.1
certifi 2019.6.16
cffi 1.12.3
chardet 3.0.4
Click 7.0
cloudpickle 1.2.1
clyent 1.2.2
colorama 0.4.1
comtypes 1.1.7
contextlib2 0.5.5
cryptography 2.7
cycler 0.10.0
Cython 0.29.13
cytoolz 0.10.0
dask 2.3.0
decorator 4.4.0
defusedxml 0.6.0
distributed 2.3.2
docutils 0.15.2
entrypoints 0.3
et-xmlfile 1.0.1
fastcache 1.1.0
filelock 3.0.12
Flask 1.1.1
fsspec 0.4.0
gast 0.3.2
gevent 1.4.0
glob2 0.7
google-pasta 0.1.7
greenlet 0.4.15
grpcio 1.23.0
h5py 2.10.0
heapdict 1.0.0
html5lib 1.0.1
idna 2.8
imageio 2.5.0
imagesize 1.1.0
importlib-metadata 0.19
ipykernel 5.1.2
ipython 7.8.0
ipython-genutils 0.2.0
ipywidgets 7.5.1
isort 4.3.21
itsdangerous 1.1.0
jdcal 1.4.1
jedi 0.15.1
Jinja2 2.10.1
joblib 0.13.2
json5 0.8.5
jsonschema 3.0.2
jupyter 1.0.0
jupyter-client 5.3.1
jupyter-console 6.0.0
jupyter-core 4.5.0
jupyterlab 1.0.2
jupyterlab-server 1.0.0
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.0
keyring 18.0.0
kiwisolver 1.1.0
lazy-object-proxy 1.4.2
libarchive-c 2.8
llvmlite 0.29.0
locket 0.2.0
lxml 4.4.1
Markdown 3.1.1
MarkupSafe 1.1.1
matplotlib 3.1.1
mccabe 0.6.1
menuinst 1.4.16
mistune 0.8.4
mkl-fft 1.0.14
mkl-random 1.0.2
mkl-service 2.0.2
mock 3.0.5
more-itertools 7.2.0
mpmath 1.1.0
msgpack 0.6.1
multipledispatch 0.6.0
nbconvert 5.5.0
nbformat 4.4.0
networkx 2.3
nltk 3.4.5
nose 1.3.7
notebook 6.0.0
numba 0.45.1
numexpr 2.7.0
numpy 1.17.2
numpydoc 0.9.1
olefile 0.46
opencv-python 4.1.0.25
openpyxl 2.6.2
packaging 19.1
pandas 0.25.1
pandocfilters 1.4.2
parso 0.5.1
partd 1.0.0
path.py 12.0.1
pathlib2 2.3.4
patsy 0.5.1
pep8 1.7.1
pickleshare 0.7.5
Pillow 6.1.0
pip 19.2.2
pkginfo 1.5.0.1
pluggy 0.12.0
ply 3.11
prometheus-client 0.7.1
prompt-toolkit 2.0.9
protobuf 3.9.1
psutil 5.6.3
py 1.8.0
pycodestyle 2.5.0
pycosat 0.6.3
pycparser 2.19
pycrypto 2.6.1
pycurl 7.43.0.3
pyflakes 2.1.1
Pygments 2.4.2
pylint 2.3.1
pyodbc 4.0.27
pyOpenSSL 19.0.0
pyparsing 2.4.2
pyreadline 2.1
pyrsistent 0.14.11
PySocks 1.7.0
pytest 5.0.1
pytest-arraydiff 0.3
pytest-astropy 0.5.0
pytest-doctestplus 0.3.0
pytest-openfiles 0.3.2
pytest-remotedata 0.3.2
python-dateutil 2.8.0
pytz 2019.2
PyWavelets 1.0.3
pywin32 223
pywinpty 0.5.5
PyYAML 5.1.2
pyzmq 18.1.0
QtAwesome 0.5.7
qtconsole 4.5.4
QtPy 1.9.0
requests 2.22.0
rope 0.14.0
ruamel-yaml 0.15.46
scikit-image 0.15.0
scikit-learn 0.21.2
scipy 1.3.1
seaborn 0.9.0
Send2Trash 1.5.0
setuptools 41.2.0
simplegeneric 0.8.1
singledispatch 3.4.0.3
six 1.12.0
snowballstemmer 1.9.0
sortedcollections 1.1.2
sortedcontainers 2.1.0
soupsieve 1.9.2
Sphinx 2.1.2
sphinxcontrib-applehelp 1.0.1
sphinxcontrib-devhelp 1.0.1
sphinxcontrib-htmlhelp 1.0.2
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.2
sphinxcontrib-serializinghtml 1.1.3
sphinxcontrib-websupport 1.1.2
spyder 3.3.6
spyder-kernels 0.5.1
SQLAlchemy 1.3.7
statsmodels 0.10.1
sympy 1.4
tables 3.5.2
tblib 1.4.0
tensorboard 1.14.0
tensorflow-estimator 1.14.0
tensorflow-gpu 1.14.0
termcolor 1.1.0
terminado 0.8.2
testpath 0.4.2
toolz 0.10.0
tornado 6.0.3
tqdm 4.32.1
traitlets 4.3.2
unicodecsv 0.14.1
urllib3 1.24.2
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.15.6
wheel 0.33.6
widgetsnbextension 3.5.1
win-inet-pton 1.1.0
win-unicode-console 0.5
wincertstore 0.2
wrapt 1.11.2
xlrd 1.2.0
XlsxWriter 1.1.8
xlwings 0.15.8
xlwt 1.3.0
zict 1.0.0
zipp 0.5.2
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最近入門tensorflow-gpu圖像識別，使用ssd模型，有什麼好的學習經驗找我，我們可以一起學習啊........
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