1.6. 参考文献

待处理

调整参考文献编写方式

[1][日]小川雄太郎. Pytorch深度学习模型开发实战[M]. 北京: 中国水利水电出版社, 2022.

[2]吴茂贵, 郁明敏, 杨本法, 李涛, 张粤磊. Python深度学习: 基于PyTorch[M]. 北京: 机械工业出版社, 2019.

[3]李金洪. PyTorch深度学习和图神经网络（卷1）——基础知识[M]. 北京: 人民邮电出版社, 2021.

[4]Conda Official Website. Miniconda - Conda Documentation[EB/OL]. https://conda.io/en/main/miniconda.html, 2022-12-22/2023-01-30.

[5]Anaconda Nucleus. Installing - Anaconda Documentation[EB/OL]. https://anaconda.cloud/support-center, 2023-01-01/2023-01-30.

[6]NVIDIA Documentation Center. CUDA Installation Guide[EB/OL]. https://docs.nvidia.com/#nvidia-cuda-toolkit, 2022-12-08/2023-01-30.

[7]PyTorch Official Website. Start Locally - PyTorch[EB/OL]. https://pytorch.org/get-started/locally/#windows-installation, 2022-12-16/2023-01-30.

[8]Jupyter Project Documentation. Documentation Guide[EB/OL]. https://docs.jupyter.org/en/latest/,2023-01-29/2023-01-30.

[9]TensorFlow Official Website. TensorFlow Core[EB/OL]. https://tensorflow.google.cn/learn?hl=zh-cn, 2021-09-01/2023-01-30.

[10]Python Official Website. Beginner Guide - Python Wiki[EB/OL]. https://wiki.python.org/moin/BeginnersGuideChinese, 2022-12-04/2023-01-30.

[11]NumPy documentation. Installing NumPy-User Guide[EB/OL]. https://numpy.org/doc/stable/user/absolute_beginners.html, 2023-01-20/2023-01-30.

[12]Matplotlib Documentation. Quick start guide[EB/OL]. https://matplotlib.org/stable/tutorials/introductory/quick_start.html, 2023-01-20/2023-01-30.

[13]NVIDIA Official Website. CUDA GPUs - Compute Capability[EB/OL]. https://developer.nvidia.com/cuda-gpus, 2023-01-15/2023-01-30.

[14]NVIDIA Official Website. CUDA Toolkit Archive[EB/OL]. https://developer.nvidia.com/cuda-toolkit-archive, 2023-01-10/2023-01-30.

[15]PyTorch Official Website. Torch Archive[EB/OL]. https://download.pytorch.org/whl/torch_stable.html, 2022-12-30/2023-01-30.