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densenettrain's Issues

请问Densenet是如何进行不定长字符识别的？

请问Densenet是如何进行不定长字符识别的？是先用定长（10个字符）的数据集进行训练之后，因为CTC不需要对齐，所以相当于已经具备了识别不定长字符的能力吗？
希望得到您的回复！

微调问题

你好大佬，我在微调这个repo以及YCG那个repo时发现一个很奇怪的问题，为什么训练精度acc总是从0开始慢慢往上升，按道理基于预训练模型再训练应该初始精度不为0才对啊，所以感到很奇怪，不知大佬在在再训练（微调）是不是这种情况？我的数据是英文数字组合

我用自己的数据loss下降到30左右，val_loss下降到37不再发生变化，但这个我还可以理解可能是我数据集不大或者学习率需要降低。但很诡异的就是accuracy一直为0。

我看了也有一些人提出这个问题，但都没有一个很好的解释。所以我写了一个回调函数，利用model.predict()，发现输出不是标签值，而是一个shape为（batchsize，）的数组，我觉得很奇怪，后面我想了应该是你outputs定义的不是输出标签而是ctc损失值。我不知道你这个keras代码accuracy是怎么计算的，如果输出是损失值了，那么你代码里的accuracy是咋计算的？求指导

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