使用谷歌colab练习深度学习

    首先登陆谷歌网盘https://drive.google.com

    创建相应文件夹,上传或者创建ipynb文件。右键> More > Colaboratory即可创建。

    双击文件,点击上方open with Colaboratory进入colab。

    修改python版本及gpu分配在Edit > Notebook settings or Runtime>Change runtime type

    添加谷歌网盘依赖并按提示授权

    !apt-get install -y -qq software-properties-common python-software-properties module-init-tools
    !add-apt-repository -y ppa:alessandro-strada/ppa 2>&1 > /dev/null
    !apt-get update -qq 2>&1 > /dev/null
    !apt-get -y install -qq google-drive-ocamlfuse fuse
    from google.colab import auth
    auth.authenticate_user()
    from oauth2client.client import GoogleCredentials
    creds = GoogleCredentials.get_application_default()
    import getpass
    !google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret} < /dev/null 2>&1 | grep URL
    vcode = getpass.getpass()
    !echo {vcode} | google-drive-ocamlfuse -headless -id={creds.client_id} -secret={creds.client_secret}

    挂载云盘,这样训练产生的一些文件可以被保存到云盘里

    !mkdir -p drive
    !google-drive-ocamlfuse drive

    其他命令

    !wget https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/Titanic.csv -P drive/app
    !pip install -q keras

    目前云端配置为

    单核志强2.2G
    内存13G
    显卡k80


    参考文章

    https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d


标签: colab ml