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用CNN识别验证码| python识别验证码| 训练验证码模型

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Traceback (most recent call last): File "train.py", line 190, in train() File "train.py", line 171, in train batch_x, batch_y = next_batch(64) File "C:\Users\11967\desktop\cnnyzm\process.py", line 61, in next_batch image_a = image[text.index(text_a)]...

Traceback (most recent call last): File "D:\Python\cnnyzm-master\train.py", line 185, in train() File "D:\Python\cnnyzm-master\train.py", line 166, in train batch_x, batch_y = next_batch(7) File "D:\Python\cnnyzm-master\process.py", line 58, in next_batch image_a = image[text.index(text_a)]...

我这边训练很快acc就95+ 但是预测训练集准确率没问题 一预测测试集 准确率就特别低 这是怎么回事啊 ![image](https://user-images.githubusercontent.com/64998502/147411499-b4452f9f-f9f5-414b-a6d4-417a5f99da91.png) ![image](https://user-images.githubusercontent.com/64998502/147411500-1717d144-9ab9-4d8a-9a82-6af6cf3ebe6a.png)

问下如何才能支持不定长度

我使用gui跑的1万数据集,很慢,而且acc一直都是0.1,这个是因为什么啊

64 9965 XkOt.jp 8250 Traceback (most recent call last): File "/Users/rember_i/学习/chinaunicom/train.py", line 214, in train() File "/Users/rember_i/学习/chinaunicom/train.py", line 182, in train batch_x, batch_y = next_batch(64) File "/Users/rember_i/学习/chinaunicom/process.py", line 70, in...

```shell Traceback (most recent call last): File "/Users/vm/Documents/workspace/First/_20200927/cnnyzm/process.py", line 80, in x,y = next_batch(batch_count=1) File "/Users/vm/Documents/workspace/First/_20200927/cnnyzm/process.py", line 69, in next_batch image_a = image[text.index(text_a)] IndexError: list index out of range ```

可以使用您训练好的模型吗但是少了一个文件 少了这个文件