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BP神经网络
Downloaded:1
The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to be downloaded from the Intern
Update
: 2025-02-06
Size
: 2kb
Publisher
:
剑剑剑剑
JGibbLDA-v.1.0
Downloaded:0
LDA implementation of Java Edition
Update
: 2025-02-06
Size
: 1.51mb
Publisher
:
kfall
R-FCN
Downloaded:1
R-FCN is an full convultional network, the performance of R-FCN outperform the Faster R-CNN
Update
: 2025-02-06
Size
: 823kb
Publisher
:
chunzhe
蓄电池BP训练
Downloaded:0
Estimation of battery SOC
Update
: 2025-02-06
Size
: 1kb
Publisher
:
xxxxxxxxYYYjj
lfm
Downloaded:1
The overlapping community found the LFM algorithm, based on the python implementation, the imported document is the LFR benchmark network, in which the detection index is written, the file can be changed, and the algorit
Update
: 2025-02-06
Size
: 2kb
Publisher
:
静丫头
bp和maltab的车牌识别
Downloaded:1
Grayscale processing, sharpening, edge detection, neural network
Update
: 2025-02-06
Size
: 4.98mb
Publisher
:
Hi我是大嘴巴
dstar-lite-master
Downloaded:0
The improved A* algorithm based on dijikstra and A* algorithm can update node information in all stages of path planning and plan new path.
Update
: 2025-02-06
Size
: 9kb
Publisher
:
khero123
naive_bayes(简单贝叶斯)
Downloaded:0
Simple introduction and explanation of Bias, a deep understanding of simple Bias.
Update
: 2025-02-06
Size
: 4.88mb
Publisher
:
panxuedian
5、贝叶斯python代码及数据
Downloaded:0
The classification and data set of Bias algorithm
Update
: 2025-02-06
Size
: 32.35mb
Publisher
:
激流勇进
cudnn-7.5-windows10-x64-v5.0-ga
Downloaded:0
Cudnn 5 matches cuda7.5, and it is useful for GPU to support deep learning partners. This is the version 5 of cudnn, which can be used in conjunction with Cuda7.5.
Update
: 2025-02-06
Size
: 39.41mb
Publisher
:
YCimage
LSTM-morevalible
Downloaded:0
LSTM multivariable prediction
Update
: 2025-02-06
Size
: 875kb
Publisher
:
密西小沫
code
Downloaded:2
The Q-learning algorithm realizes the optimal path planning of AGV, and the measured results are very good. It is very helpful for students who are studying deep learning and reinforcement learning.
Update
: 2025-02-06
Size
: 256kb
Publisher
:
sfy123456
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