Anaconda in the development environment to build deep learning record (under Win10 test)

I was asked to build deep learning environment under Win10, individuals should feel and Win7 almost, but still personally responsible for trying to record it. The following commands are said pro-test available.
My platform is: Python3.6 (Anaconda4.3) + CUDA10.0 + windows10, advance to the official website to download NVIDIA CUDA and cuDNN, configuration see my another blog , not repeat them here

• Set the source
  June 5, 2019 Anaconda Tsinghua source resumed use, very good! !
  Annaconda use the following command in the command line you can set the source.
  config --add channels Conda https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  Conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/ main /
  Conda config --set show_channel_urls yes

• 虚环境
  conda create -n deeplearning python=3.6
  conda info -e
  activate deeplearning

• tensorflow
  GPU版本：
  anaconda search -t conda tensorflow-gpu
  anaconda show anaconda/tensorflow-gpu
  conda install --channel https://conda.anaconda.org/anaconda tensorflow-gpu=1.13.1

  CPU版本：
  anaconda search -t conda tensorflow
  anaconda show conda-forge/tensorflow
  conda install --channel https://conda.anaconda.org/conda-forge tensorflow=1.13.1

• keras
  #anaconda Search -t Conda keras-GPU
  #anaconda Show Anaconda / keras-GPU
  #conda install --channel https://conda.anaconda.org/anaconda keras-GPU = 2.2.4
  # The above command will prompt: The following packages will be sUPERSEDED by a higher- priority channel, so it is best not to confirm the installation
  pip install keras

• Jupyter supports multiple Kernel
  Conda install nb_conda

• Other packages installed
  Conda the install matplotlib
  Conda the install PANDAS
  Conda the install scikit-Learn

• pytorch
  Online Installation:
  on Pytorch official website , choose their own platform, as I:
  
  GPU version: Conda install pytorch torchvision cudatoolkit = 10.0 -c pytorch
  the CPU version: conda install pytorch-cpu torchvision- cpu -c pytorch
  latest 1.1 .0
  this off-line method to save the local installation time:
  Download: Tsinghua Pytorch
  the GPU-version --use the install local Conda :: pytorch-1.1.0-py3.6_cuda100_cudnn7_1.tar.bz2
  the CPU version installation: conda install - the CPU-local-pytorch the -use-1.1.0-py3.6_cpu_1.tar.bz2
  torchvision: this is mainly integrated some data sets, deep learning model, some of the conversion, the future need to use is still very easy, pip install torchvision