# Day 24: Lab-Distributed Machine Learning with Google Cloud ML

## Quest-Advanced ML: ML Infrastructure
- [Advanced ML: ML Infrastructure](https://www.qwiklabs.com/quests/84?catalog_rank=%7B%22rank%22%3A1%2C%22num_filters%22%3A0%2C%22has_search%22%3Atrue%7D&search_id=12437681#)
- [Distributed Machine Learning with Google Cloud ML](https://www.qwiklabs.com/focuses/3389?parent=catalog)
## Checkpoints
1. Create a deep neural network machine learning model
2. Add a wide and deep neural network model
3. Changing the learning rate
4. Deploying and using the Model
## Notice
- 使用 `nano` 來編輯程式
- 使用 `vim` 貼上程式會**跑版**

- `ssh` re-connect 需**重設環境變數**、**切換路徑**
- echo $環境變數名稱
- check 是否已設定好其值
- 切換路徑
- 先進入 `virtualenv`
- cd ~/tensorflow

### History
- 看完 Notice 就不會再卡卡


### Badget
- [Google Cloud Profile](https://www.cloudskillsboost.google/public_profiles/253090f4-14c0-4d45-b897-d7a04ea62917)


## qwiklabs-free
★每月免費體驗QWIKLABS!
- [QWIKLABS](https://go.qwiklabs.com/qwiklabs-free)
- [Accept the challenge!](https://inthecloud.withgoogle.com/google-cloud-skills/register.html)