深度神经网络conda环境下载

介绍

因为使用conda下载数据有时候因为网络问题下载非常慢，因此我把conda的环境备份好，到时可以直接使用conda的conda create -n 新环境名字 –clone 环境的路径 ， 直接把路径下原有的环境克隆到新环境中。

说明

• 要求Anaconda3
• 要求python版本3.6
• 里面主要包括tensorflow2.1.0, tensorflow-gpu 2.1.0, tensorflow-estimator 2.1.0, matplotlib 3.3.1
• 链接：https://pan.baidu.com/s/1ROmbXvroAVxa-SLOWyDwag
  提取码：lyc0

包含的库列表

# Name                    Version                   Build  Channel
_tflow_select             2.1.0                       gpu    defaults
absl-py                   0.8.0                    py36_0    defaults
astor                     0.8.0                    py36_0    defaults
blas                      1.0                         mkl    defaults
blinker                   1.4                        py_1    conda-forge
brotlipy                  0.7.0           py36h779f372_1000    conda-forge
ca-certificates           2020.7.22                     0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cachetools                4.1.1                      py_0    conda-forge
certifi                   2020.6.20                py36_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cffi                      1.14.1           py36hef61171_0    conda-forge
chardet                   3.0.4           py36h9f0ad1d_1006    conda-forge
click                     7.1.2              pyh9f0ad1d_0    conda-forge
cryptography              3.1              py36hef61171_0    conda-forge
cudatoolkit               10.1.243             h74a9793_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cudnn                     7.6.5                cuda10.1_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cycler                    0.10.0           py36h009560c_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
freetype                  2.10.2               hd328e21_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
gast                      0.2.2                    py36_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
google-auth               1.21.1                     py_0    conda-forge
google-auth-oauthlib      0.4.1                      py_2    conda-forge
google-pasta              0.2.0              pyh8c360ce_0    conda-forge
grpcio                    1.31.0           py36h4285a62_0    conda-forge
h5py                      2.9.0            py36h5e291fa_0    defaults
hdf5                      1.10.4               h7ebc959_0    defaults
icc_rt                    2019.0.0             h0cc432a_1    defaults
icu                       58.2                 ha925a31_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
idna                      2.10               pyh9f0ad1d_0    conda-forge
intel-openmp              2019.4                      245    defaults
jpeg                      9b                   hb83a4c4_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
keras-applications        1.0.8                      py_0    defaults
keras-preprocessing       1.1.0                      py_1    defaults
kiwisolver                1.2.0            py36h74a9793_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libpng                    1.6.37               h2a8f88b_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
libprotobuf               3.9.2                h7bd577a_0    defaults
libtiff                   4.1.0                h56a325e_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
lz4-c                     1.9.2                h62dcd97_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
markdown                  3.1.1                    py36_0    defaults
matplotlib                3.3.1                         0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
matplotlib-base           3.3.1            py36hba9282a_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
mkl                       2019.4                      245    defaults
mkl-service               2.3.0            py36hb782905_0    defaults
mkl_fft                   1.0.14           py36h14836fe_0    defaults
mkl_random                1.1.0            py36h675688f_0    defaults
numpy                     1.16.5           py36h19fb1c0_0    defaults
numpy-base                1.16.5           py36hc3f5095_0    defaults
oauthlib                  3.0.1                      py_0    conda-forge
olefile                   0.46                     py36_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
openssl                   1.1.1g               he774522_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
opt_einsum                3.3.0                      py_0    conda-forge
pillow                    7.2.0            py36hcc1f983_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pip                       19.2.3                   py36_0    defaults
protobuf                  3.9.2            py36h33f27b4_0    defaults
pyasn1                    0.4.8                      py_0    conda-forge
pyasn1-modules            0.2.7                      py_0    conda-forge
pycparser                 2.20               pyh9f0ad1d_2    conda-forge
pyjwt                     1.7.1                      py_0    conda-forge
pyopenssl                 19.1.0                     py_1    conda-forge
pyparsing                 2.4.7                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pyqt                      5.9.2            py36h6538335_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pyreadline                2.1                      py36_1    defaults
pysocks                   1.7.1            py36h9f0ad1d_1    conda-forge
python                    3.6.9                h5500b2f_0    defaults
python-dateutil           2.8.1                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
python_abi                3.6                     1_cp36m    conda-forge
qt                        5.9.7            vc14h73c81de_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
requests                  2.24.0             pyh9f0ad1d_0    conda-forge
requests-oauthlib         1.3.0              pyh9f0ad1d_0    conda-forge
rsa                       4.6                pyh9f0ad1d_0    conda-forge
scipy                     1.3.1            py36h29ff71c_0    defaults
setuptools                41.4.0                   py36_0    defaults
sip                       4.19.8           py36h6538335_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
six                       1.12.0                   py36_0    defaults
sqlite                    3.30.0               he774522_0    defaults
tensorboard               2.3.0                      py_0    conda-forge
tensorboard-plugin-wit    1.6.0              pyh9f0ad1d_0    conda-forge
tensorflow                2.1.0           gpu_py36h3346743_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mai
tensorflow-base           2.1.0           gpu_py36h55f5790_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mai
tensorflow-estimator      2.1.0              pyhd54b08b_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-gpu            2.1.0                h0d30ee6_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
termcolor                 1.1.0                    py36_1    defaults
tk                        8.6.10               he774522_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tornado                   6.0.4            py36he774522_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
urllib3                   1.25.10                    py_0    conda-forge
vc                        14.1                 h0510ff6_4    defaults
vs2015_runtime            14.16.27012          hf0eaf9b_0    defaults
werkzeug                  0.16.0                     py_0    defaults
wheel                     0.33.6                   py36_0    defaults
win_inet_pton             1.1.0                    py36_0    conda-forge
wincertstore              0.2              py36h7fe50ca_0    defaults
wrapt                     1.11.2           py36he774522_0    defaults
xz                        5.2.5                h62dcd97_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
zlib                      1.2.11               h62dcd97_3    defaults
zstd                      1.4.5                h04227a9_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

原始出处：

www.thecodesearch.com:   http://www.thecodesearch.com/2020/09/17/%e6%b7%b1%e5%ba%a6%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9cconda%e7%8e%af%e5%a2%83%e4%b8%8b%e8%bd%bd/