Neural-Networks-to-Recognize-Hand-Written-Digits
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：18825KB
下载次数：0
上传日期：2019-12-01 12:16:47
上 传 者：
sh-1993
说明： 神经网络识别手写数字，识别手写数字的准确率为97.52%
(Neural-Networks-to-Recognize-Hand-Written-Digits,Recognizing hand-written digits with an accuracy of 97.52%)
文件列表:
MNIST (0, 2019-12-01)
MNIST\script.py (1595, 2019-12-01)
MNIST\t10k-images-idx3-ubyte.gz (1648877, 2019-12-01)
MNIST\t10k-labels-idx1-ubyte.gz (4542, 2019-12-01)
MNIST\train-images-idx3-ubyte.gz (9912422, 2019-12-01)
MNIST\train-labels-idx1-ubyte.gz (28881, 2019-12-01)
data1.mat (7511764, 2019-12-01)
displayData.m (1324, 2019-12-01)
lrCostFunction.m (639, 2019-12-01)
nn.m (1909, 2019-12-01)
numbers prediction.JPG (118675, 2019-12-01)
oneVsAll.m (527, 2019-12-01)
predict.m (477, 2019-12-01)
predictOneVsAll.m (455, 2019-12-01)
weights.mat (79592, 2019-12-01)
## ```Neural-Networks-to-Recognize-Hand-Written-Digits```
Here you will find two different datasets and code for them to recognise hand written digits.
1) *MNIST*
2) *Recognizing hand-written digits with an accuracy of 97.52% using Octave*
Picturising the algorithm
## Output:
近期下载者：
相关文件：
收藏者：