如何在GCP上跑深度学习模型

直播视频:

文字材料:
1.下载install.sh
wget --no-check-certificate -c https://oss.hacking-linux.com/cuda/install.sh
2.下载lubcudnn相关包:
wget --no-check-certificate -c https://oss.hacking-linux.com/cuda/libcudnn7-dev_7.1.4.18-1%2Bcuda9.0_amd64.deb
wget --no-check-certificate -c https://oss.hacking-linux.com/cuda/libcudnn7_7.1.4.18-1%2Bcuda9.0_amd64.deb
3.安装cuda:
bash ./install.sh
4.安装libcudnn:
dpkg -i libcudnn7*
5.检查是否安装成功:
nvidia-smi
6.安装python3-pip
apt install python3-pip -y
7.安装tensorflow-gpu
pip install tensorflow-gpu
8.安装notebook
pip install jupyter notebook
9.为notebook配置密码
mkdir ~/.jupyter
jupyter-notebook password
10.配置jupyter-notebook监听ip与启动端口并启动(注意, 如果是root用户, 需要在后面加上--allow-root参数)
jupyter-notebook --ip 0.0.0.0 --port 90