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Issues list

not done?
#1 opened Jan 3, 2019 by quliulangle updated Jan 16, 2019
1
how to load pretrained model
#2 opened Jul 3, 2019 by zjz5250 updated Jul 5, 2019
1
MobileNet version
#5 opened Aug 14, 2019 by bleakie updated Aug 14, 2019
模型
#6 opened Aug 16, 2019 by Boisa updated Aug 19, 2019
1
why channles=1？
#7 opened Aug 21, 2019 by bleakie updated Aug 21, 2019
1
checkpoints文件夹
#8 opened Sep 16, 2019 by fengmeixue updated Sep 24, 2019
3
请问checkpoints找不到指定路径这个问题怎么解决呢？
#10 opened Sep 24, 2019 by dengfeng729 updated Sep 24, 2019
1
如何适用于多标签分类
#13 opened Sep 29, 2019 by nanshihui updated Oct 8, 2019
1
关于predict.py的问题
#16 opened Jan 10, 2020 by Chen65010445 updated Jan 14, 2020
6
请问一下为什么要取消DenseNet网络？
#9 opened Sep 18, 2019 by wxs29 updated Mar 1, 2020
6
请问如何在我的数据上进行试验呢
#11 opened Sep 24, 2019 by dengfeng729 updated Mar 15, 2020
2
您好，如果我在MNIST上训练请问如何操作？
#20 opened Mar 18, 2020 by roseif updated Mar 20, 2020
1
loss和val_loss不更新
#21 opened Apr 20, 2020 by Jiangdan135 updated May 6, 2020
5
keras里面没有被resnet18这个网络？该怎样得到？
#22 opened May 28, 2020 by Crystal950504 updated May 28, 2020
1
训练时报错：AttributeError: 'NoneType' object has no attribute 'shape'
#23 opened Aug 13, 2020 by Wangyy-moya updated Aug 13, 2020
3
运行predict出现ValueError: Dimension 0 in both shapes must be equal, but are 12800 and 800. Shapes are [12800,500] and [800,500]. for 'Assign_4' (op: 'Assign') with input shapes: [12800,500], [800,500].
#19 opened Mar 5, 2020 by shakey-cuimiao updated Aug 14, 2020
4
关于损失函数与评价函数的选择是否不匹配？
#27 opened Sep 28, 2020 by xuanwdx updated Nov 20, 2020
3
训练后，测试分类准确度，一类准确度为100%，其余类准确度为0%
#25 opened Aug 26, 2020 by Wangyy-moya updated Dec 30, 2020
2
用两类图片训练，测试时，一类的准确率为1.0，另一类为0，请问是什么原因？
#24 opened Aug 13, 2020 by Wangyy-moya updated Dec 30, 2020
10
Why not identify? detect.py Which is it?
#30 opened Jan 27, 2021 by gg22mm updated Jan 27, 2021
VGG16，显存溢出问题
#18 opened Mar 3, 2020 by KMY-SEU updated Feb 13, 2021
6
测试结果明显不对，有解决掉的吗？过拟合太厉害了
#32 opened Dec 24, 2021 by xiyangxia updated Dec 24, 2021
VGG16
#3 opened Jul 17, 2019 by myFirstGitHubHAHAHA updated Sep 13, 2022
2
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