文件名称：LeNet-5结构的卷积神经网络-CNN.zip
文件大小：17.23MB
文件格式：ZIP
更新时间：2023-05-08 09:24:48
人工智能 卷积神经网络
超简明网课的CNN经典代码，实现了LeNet-5结构，相关博文链接可以参考如下：「https://blog.csdn.net/u013684446/article/details/105575942」。代码质量高，下载后直接运行即可
【文件预览】：
CNN
----train-images-idx3-ubyte.gz(9.45MB)
----mnist_cnn_model.ckpt.index(1KB)
----mnist_model.py(3KB)
----log()
--------events.out.tfevents.1587106752.zhanglongdeMacBook-Air.local(187KB)
--------events.out.tfevents.1587107241.zhanglongdeMacBook-Air.local(187KB)
--------events.out.tfevents.1587105474.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587104092.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587106305.zhanglongdeMacBook-Air.local(185KB)
--------events.out.tfevents.1587107103.zhanglongdeMacBook-Air.local(187KB)
--------events.out.tfevents.1587107296.zhanglongdeMacBook-Air.local(187KB)
--------events.out.tfevents.1587106328.zhanglongdeMacBook-Air.local(185KB)
--------events.out.tfevents.1587108308.zhanglongdeMacBook-Air.local(187KB)
--------events.out.tfevents.1587103011.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1585641775.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587105565.zhanglongdeMacBook-Air.local(161KB)
--------events.out.tfevents.1587106241.zhanglongdeMacBook-Air.local(166KB)
--------events.out.tfevents.1587100220.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587101094.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587103291.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587106632.zhanglongdeMacBook-Air.local(185KB)
--------events.out.tfevents.1585641720.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587105511.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587105359.zhanglongdeMacBook-Air.local(200KB)
--------events.out.tfevents.1587101634.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587107573.zhanglongdeMacBook-Air.local(177KB)
--------events.out.tfevents.1587106082.zhanglongdeMacBook-Air.local(166KB)
--------events.out.tfevents.1587102883.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587103867.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587101955.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587101737.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587106350.zhanglongdeMacBook-Air.local(185KB)
--------events.out.tfevents.1587103759.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587106667.zhanglongdeMacBook-Air.local(185KB)
--------events.out.tfevents.1587103122.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587107528.zhanglongdeMacBook-Air.local(157KB)
--------events.out.tfevents.1587105539.zhanglongdeMacBook-Air.local(163KB)
--------events.out.tfevents.1587106489.zhanglongdeMacBook-Air.local(185KB)
----train_mnist_model.py(3KB)
----4_my.png(585B)
----.DS_Store(6KB)
----mnist_cnn_model.ckpt.data-00000-of-00001(6.24MB)
----predict_mnist_model.py(2KB)
----test_num.zip(11KB)
----__pycache__()
--------mnist_model.cpython-37.pyc(2KB)
----train-labels-idx1-ubyte.gz(28KB)
----t10k-labels-idx1-ubyte.gz(4KB)
----mnist_cnn_model.ckpt.meta(98KB)
----t10k-images-idx3-ubyte.gz(1.57MB)
----checkpoint(97B)