熟悉CNN
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：54823KB
下载次数：5
上传日期：2020-08-10 17:52:05
上 传 者：
Roman_Hu
说明： 使用MATLAB对minist手写数据集进行分类，能够达到较高的准确率，可以运行。
(Using MATLAB to classify the Minist handwritten data set can achieve high accuracy and can run.)
文件列表:
熟悉CNN (0, 2020-07-21)
熟悉CNN\applyactfunccnn.m (1572, 2016-09-20)
熟悉CNN\bpcnn.m (9883, 2016-11-09)
熟悉CNN\cnn.mat (32930547, 2020-07-21)
熟悉CNN\cnnAddActLayer.m (266, 2016-08-30)
熟悉CNN\cnnAddConvLayer.m (2296, 2016-11-11)
熟悉CNN\cnnAddFCLayer.m (1573, 2017-02-16)
熟悉CNN\cnnAddPoolLayer.m (930, 2016-09-20)
熟悉CNN\compares.m (155, 2020-07-02)
熟悉CNN\createfigure.m (50620, 2020-07-21)
熟悉CNN\Example_MNIST_CNN.m (3172, 2020-07-21)
熟悉CNN\ffcnn.m (4808, 2020-07-03)
熟悉CNN\gradientdescentcnn.m (843, 2016-11-09)
熟悉CNN\initcnn.m (863, 2016-11-11)
熟悉CNN\MNIST (0, 2020-07-20)
熟悉CNN\MNIST\t10k-images-idx3-ubyte.gz (1648877, 2020-06-30)
熟悉CNN\MNIST\t10k-images.idx3-ubyte (7840016, 1998-01-26)
熟悉CNN\MNIST\t10k-labels-idx1-ubyte.gz (4542, 2020-06-30)
熟悉CNN\MNIST\t10k-labels.idx1-ubyte (10008, 1998-01-26)
熟悉CNN\MNIST\train-images-idx3-ubyte.gz (9912422, 2020-06-30)
熟悉CNN\MNIST\train-images.idx3-ubyte (47040016, 1996-11-18)
熟悉CNN\MNIST\train-labels-idx1-ubyte.gz (28881, 2020-06-30)
熟悉CNN\MNIST\train-labels.idx1-ubyte (60008, 1996-11-18)
熟悉CNN\testcnn.m (1067, 2020-07-03)
熟悉CNN\traincnn.m (3181, 2020-07-21)
熟悉CNN\transform.m (457, 2020-07-21)
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