---
# System prepended metadata

title: Anaconda 安裝 tensorflow and PyTorch
tags: [jupyter, deep learning, anaconda]

---

###### tags: `deep learning` `anaconda` `jupyter`

# Anaconda 安裝 tensorflow and PyTorch

## 安裝Anaconda後 創建虛擬環境
```python=3.6
conda create -n [env_name] python=3.X
```
## 刪除虛擬環境
```python=3.6
conda env remove -n [env_name] 
```
## 進入虛擬環境
```python=3.6
conda activate [env_name]
```
## 退出虛擬環境

```python=3.6
conda deactivate
```
## 搜尋Package.版本
```python=3.6
conda search tensorflow-gpu
```


## 查看環境中安裝package
```python=3.6
conda list 
```

## 查看虛擬環境
```python=3.6
conda env list 
```

## 查看可以使用conda install 安裝之package
> https://anaconda.org/anaconda/repo



## 安裝tensorflow
```python=3.6
conda install tensorflow-gpu
conda install tensorflow=1.XX
```


## 安裝PyTorch
```python=3.6
conda install pytorch
```

## 安裝Jupyter 
安裝完成後，可在安裝
```python=3.6
conda install jupyter notebook
```
or
```python=3.6
conda install jupyterlab
```
## 安裝其他Package
```
conda install numpy
conda install matplotlib
...etc
```

# 遠端連線設定
1. 安裝jupyter notebook 後
2. 生成sha1密碼
```python=3.6
python
from notebook.auth import passwd; passwd()
```
![](https://i.imgur.com/iyIxdH6.png)

3. 生成config檔
```
jupyter notebook --generate-config
```
4. 更改config檔內容
```config
c.NotebookApp.ip = '*' #sign in IP      (*) = every ip
c.NotebookApp.password = ' sha1:-----' # password
c.NotebookApp.port = 8000   # define your port
```