Comments (5)
ypwhs
commented on July 24, 2024
应该能达到95%以上的准确率，如果不够，可以调节层数、卷积核个数等。
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niujiahe
commented on July 24, 2024
我训练了两天 结果完全发散了。。。可能是因为我训练机不够？每个epoch我采用了100万张图片训练，结果train的loss一直在降低，val的反而在上升。。。我觉得问题可能出现最后的dense，加了多几层dense层也没有用
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niujiahe
commented on July 24, 2024
基本就是百分之0的准确率了，训练的时候还非常非常慢23333
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niujiahe
commented on July 24, 2024
最终val的loss先降低到十几，然后就开始往上升高了
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ypwhs
commented on July 24, 2024
100万张图肯定是非常够用了，你可以检查一下是哪里写错了
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Related Issues (20)
- 如何把保存下来的ctc模型载入继续训练呢？
- 您可否告知下这几个文件是独立运行的吗，如何训练自己的中文验证码呢 HOT 5
- RNN分类之后， 在评估处怎么获得每个字符的概率呢 HOT 1
- 多行验证码如何识别呢？ HOT 4
- loss为负数且不断减小
- cannot import name '_imaging' from 'PIL'
- 变长标签怎么处理
- 如果验证码最后两位相同，似乎一定识别错误 HOT 4
- 运行winpy/main.py遇到的问题 HOT 5
- train和val的acc都可以到99%，但是eval,只有0.00265，这是怎么回事呢
- 尝试把n_class+1程序可以运行，但是不知道对不对 HOT 1
- 请问如果是不定长的验证码 可以使用吗 HOT 2
- 使用CTC， 识别时不限制4个字符长度，识别率如何？ HOT 3
- CTC模型不定长输出问题 HOT 1
- 效果不理想
- 训练完了怎么用啊，纯小白 HOT 2
- cnn_2019.ipynb（防止 tensorflow 占用所有显存）tensorflow2.0要怎么改 HOT 1
- tensorflow 2.0 训练的时候 日志不显示 不知道 训练到哪一步 HOT 1
- 请问我改如何替换掉ctc_2019中的lambda方法呢 因为lambda在加载保存的模型会有错误 HOT 1
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