feat: add Jupyter notebook for linear regression and CIFAR-10 image classification with model training
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@ -4,13 +4,13 @@ FROM pytorch/pytorch:latest
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# 安装 Jupyter Lab 和常用库
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# 安装 Jupyter Lab 和常用库
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
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pip install --upgrade pip && \
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pip install --upgrade pip && \
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pip install jupyterlab matplotlib pandas seaborn
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pip install jupyterlab matplotlib pandas seaborn tensorboard visdom
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# 设置默认工作目录
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# 设置默认工作目录
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WORKDIR /workspace
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WORKDIR /workspace
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# 暴露 Jupyter 端口
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# 暴露端口:Jupyter、TensorBoard、Visdom
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EXPOSE 8888
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EXPOSE 8888 6006 8097
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# 默认启动 Jupyter Lab
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# 默认启动 Jupyter Lab
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CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]
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CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]
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