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
<code># 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<br><br></code>
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转载请注明原文链接：深度神经网络conda环境下载
转载请注明原文链接：深度神经网络conda环境下载
