卷积神经网络的下采样：步进卷积、最大池化

╰+攻爆jí腚メ 2023-06-17 05:55 265阅读 0赞

# ![20191009191333910.png][]**[个人主页 ][Link 1]** #

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1.[window下安装 Keras、TensorFlow（先安装CUDA、cuDNN，再安装Keras、TensorFlow）][window_ Keras_TensorFlow_CUDA_cuDNN_Keras_TensorFlow]

2.[C/C++ 笔记、Python 笔记、JavaWeb + 大数据 笔记][C_C_ _Python _JavaWeb _ _]

3.[Keras 深度学习实战、PyTorch 深度学习、Python 深度学习、动手学 深度学习][Keras _PyTorch _Python]

4.[人工智能AI：Keras PyTorch MXNet 深度学习实战（不定时更新）][AI_Keras PyTorch MXNet]

5.[深度学习、机器学习、人工智能的区别][Link 2]

6.[计算机视觉工具GluonCV][GluonCV]

7.[matplotlib 相关语法详解][matplotlib]

8.[MXNet 相关函数详解][MXNet]

9.[pandas 相关语法详解][pandas]

10.[window下安装MXNet][window_MXNet]

11.[高数 相关知识][Link 3]

12.[python 相关语法详解][python]

13.[PyTorch 相关函数详解][PyTorch]

14.[window 安装 PyTorch][window _ PyTorch]

15.[卷积神经网络][Link 4]

16.[卷积神经网络：从头开始构建一个CNN][CNN]

17.[人工智能中 相关的术语概念知识][Link 5]

18.[人工智能中 Numpy的 相关函数使用][Numpy_]

19.[使用 Keras 定义简单神经网络来识别 MNIST 手写数字的网络][Keras _ MNIST]

20.[数据结构与算法(java/python/C实现)：时间复杂度、冒泡排序、选择排序、插入排序、希尔排序、快速排序、归并排序、二叉树、队列、链表、栈][java_python_C]

21.[百度飞浆paddlepaddle下载安装][paddlepaddle]

22.[机器翻译 MXNet（使用含注意力机制的编码器—解码器）][MXNet 1]

23.[Keras 相关语法详解][Keras]

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[20191009191333910.png]: https://img-blog.csdnimg.cn/20191009191333910.png
[Link 1]: https://blog.csdn.net/zimiao552147572
[window_ Keras_TensorFlow_CUDA_cuDNN_Keras_TensorFlow]: https://azusa.blog.csdn.net/article/details/101147137
[C_C_ _Python _JavaWeb _ _]: https://azusa.blog.csdn.net/article/details/77869233
[Keras _PyTorch _Python]: https://azusa.blog.csdn.net/article/details/101108332
[AI_Keras PyTorch MXNet]: https://azusa.blog.csdn.net/article/details/101108543
[Link 2]: https://azusa.blog.csdn.net/article/details/101108431
[GluonCV]: https://azusa.blog.csdn.net/article/details/101293118
[matplotlib]: https://azusa.blog.csdn.net/article/details/101216953
[MXNet]: https://azusa.blog.csdn.net/article/details/97637799
[pandas]: https://azusa.blog.csdn.net/article/details/97615854
[window_MXNet]: https://azusa.blog.csdn.net/article/details/95807839
[Link 3]: https://azusa.blog.csdn.net/article/details/95748639
[python]: https://azusa.blog.csdn.net/article/details/94490734
[PyTorch]: https://azusa.blog.csdn.net/article/details/94490528
[window _ PyTorch]: https://azusa.blog.csdn.net/article/details/94333706
[Link 4]: https://azusa.blog.csdn.net/article/details/92850450
[CNN]: https://azusa.blog.csdn.net/article/details/92801266
[Link 5]: https://azusa.blog.csdn.net/article/details/91173008
[Numpy_]: https://azusa.blog.csdn.net/article/details/91157311
[Keras _ MNIST]: https://azusa.blog.csdn.net/article/details/90479046
[java_python_C]: https://azusa.blog.csdn.net/article/details/90273812
[paddlepaddle]: https://azusa.blog.csdn.net/article/details/102673380
[MXNet 1]: https://azusa.blog.csdn.net/article/details/102876164
[Keras]: https://azusa.blog.csdn.net/article/details/102920804
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