Anaconda安装+TensorFlow安装+Keras安装+numpy安装（包含镜像和版本信息兼容问题）

TensorFlow与Keras以及Python版本一一对应表

Framework	Env name (--env parameter)	Description
TensorFlow 2.2	tensorflow-2.2	TensorFlow 2.2.0 + Keras 2.3.1 on Python 3.7.
TensorFlow 2.1	tensorflow-2.1	TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6.
TensorFlow 2.0	tensorflow-2.0	TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6.
TensorFlow 1.15	tensorflow-1.15	TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6.
TensorFlow 1.14	tensorflow-1.14	TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6.
TensorFlow 1.13	tensorflow-1.13	TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6.
TensorFlow 1.12	tensorflow-1.12	TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6.
	tensorflow-1.12:py2	TensorFlow 1.12.0 + Keras 2.2.4 on Python 2.
TensorFlow 1.11	tensorflow-1.11	TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6.
	tensorflow-1.11:py2	TensorFlow 1.11.0 + Keras 2.2.4 on Python 2.
TensorFlow 1.10	tensorflow-1.10	TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6.
	tensorflow-1.10:py2	TensorFlow 1.10.0 + Keras 2.2.0 on Python 2.
TensorFlow 1.9	tensorflow-1.9	TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6.
	tensorflow-1.9:py2	TensorFlow 1.9.0 + Keras 2.2.0 on Python 2.
TensorFlow 1.8	tensorflow-1.8	TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6.
	tensorflow-1.8:py2	TensorFlow 1.8.0 + Keras 2.1.6 on Python 2.
TensorFlow 1.7	tensorflow-1.7	TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6.
	tensorflow-1.7:py2	TensorFlow 1.7.0 + Keras 2.1.6 on Python 2.
TensorFlow 1.5	tensorflow-1.5	TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6.
	tensorflow-1.5:py2	TensorFlow 1.5.0 + Keras 2.1.6 on Python 2.
TensorFlow 1.4	tensorflow-1.4	TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6.
	tensorflow-1.4:py2	TensorFlow 1.4.0 + Keras 2.0.8 on Python 2.
TensorFlow 1.3	tensorflow-1.3	TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6.
	tensorflow-1.3:py2	TensorFlow 1.3.0 + Keras 2.0.6 on Python 2.
TensorFlow 1.2	tensorflow-1.2	TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5.
	tensorflow-1.2:py2	TensorFlow 1.2.0 + Keras 2.0.6 on Python 2.
TensorFlow 1.1	tensorflow	TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5.
	tensorflow:py2	TensorFlow 1.1.0 + Keras 2.0.6 on Python 2.
TensorFlow 1.0	tensorflow-1.0	TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5.
	tensorflow-1.0:py2	TensorFlow 1.0.0 + Keras 2.0.6 on Python 2.
TensorFlow 0.12	tensorflow-0.12	TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5.
	tensorflow-0.12:py2	TensorFlow 0.12.1 + Keras 1.2.2 on Python 2.
PyTorch 1.5	pytorch-1.5	PyTorch 1.5.0 + fastai 1.0.61 on Python 3.7.
PyTorch 1.4	pytorch-1.4	PyTorch 1.4.0 + fastai 1.0.60 on Python 3.6.
PyTorch 1.3	pytorch-1.3	PyTorch 1.3.0 + fastai 1.0.60 on Python 3.6.
PyTorch 1.2	pytorch-1.2	PyTorch 1.2.0 + fastai 1.0.60 on Python 3.6.
PyTorch 1.1	pytorch-1.1	PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6.
PyTorch 1.0	pytorch-1.0	PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6.
	pytorch-1.0:py2	PyTorch 1.0.0 on Python 2.
PyTorch 0.4	pytorch-0.4	PyTorch 0.4.1 on Python 3.6.
	pytorch-0.4:py2	PyTorch 0.4.1 on Python 2.
PyTorch 0.3	pytorch-0.3	PyTorch 0.3.1 on Python 3.6.
	pytorch-0.3:py2	PyTorch 0.3.1 on Python 2.
PyTorch 0.2	pytorch-0.2	PyTorch 0.2.0 on Python 3.5
	pytorch-0.2:py2	PyTorch 0.2.0 on Python 2.
PyTorch 0.1	pytorch-0.1	PyTorch 0.1.12 on Python 3.
	pytorch-0.1:py2	PyTorch 0.1.12 on Python 2.
Theano 0.9	theano-0.9	Theano rel-0.8.2 + Keras 2.0.3 on Python3.5.
	theano-0.9:py2	Theano rel-0.8.2 + Keras 2.0.3 on Python2.
Caffe	caffe	Caffe rc4 on Python3.5.
	caffe:py2	Caffe rc4 on Python2.
Torch	torch	Torch 7 with Python 3 env.
	torch:py2	Torch 7 with Python 2 env.
Chainer 1.23	chainer-1.23	Chainer 1.23.0 on Python 3.
	chainer-1.23:py2	Chainer 1.23.0 on Python 2.
Chainer 2.0	chainer-2.0	Chainer 1.23.0 on Python 3.
	chainer-2.0:py2	Chainer 1.23.0 on Python 2.
MxNet 1.0	mxnet	MxNet 1.0.0 on Python 3.6.
	mxnet:py2	MxNet 1.0.0 on Python 2.

安装Anaconda

Anaconda各个版本的安装包（官网）（根据对应的Python版本找到需要的Anaconda版本安装包进行下载）

安装Anaconda时所有的框框都✔打勾，直接傻瓜式安装。（注意选择安装地址的时候，地址不要包含中文）

需要添加的镜像：

https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2

 

tensorflow和numpy对应的版本

tensorflow	numpy	cuda	cudnn
2.0.0	1.16.4
1.14.0	1.16.0	10.0	7.6.5
1.13.1	1.16.0
1.12.0	1.15.4
1.8.0	1.14.5

更改numpy版本方法：

pip install -U -i https://pypi.tuna.tsinghua.edu.cn/simple numpy==版本
# -U 是重装
# -i https://pypi.tuna.tsinghua.edu.cn/simple 是使用清华镜像

或者用另外一个镜像（这个镜像的速度更快）

http://pypi.douban.com/simple --trusted-host pypi.douban.com

 1.打开Anaconda Prompt，检查Anaconda是否成功安装：conda --version

 2.检测目前安装了哪些环境：conda info --envs

 4.安装不同版本的python：conda create -n tensorflow python=3.6.5

用到的视频安装教程：Anaconda、Tensorflow、keras安装可能出现的问题及解决/经验分享

教程中用到的命令：Anaconda Prompt

1.(base)环境
python -m pip install -U pip
//正确的结果为：Successfully...
2.(base)环境
//创建名为tensorflow的环境，同时安装python
conda create --name tensorflow python=3.6
3.(base)
activate tensorflow
4.(tensorflow)
pip install tensorflow==1.15.0 -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
5.(tensorflow)
//检查tensorflow是否安装成功
python
import tensorflow as tf
//出现安装时间就是安装成功
6.(tensorflow)
pip install keras==2.2.5 -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
7.(tensorflow)
//检查keras是否安装成功
python
import keras
//安装成功会显示Using TensofFlow backend

我的Anaconda版本：Anaconda3-5.2.0

Python版本：3.6.1.2

keras版本：2.3.1

numpy版本：1.13.1

tensorflow版本：1.2.1