经过网上查找，找到了问题所在：在使用keras编程模式是，中间插入了tf.reshape()方法便遇到此问题。 解决办法：对于遇到相同问题的任何人，可以使用keras的Lambda层来包装张量流操作，这是我所做的：embed1keras.layers.Embedding(10000,32)(inputs)

通过利用keras以及一些自定义函数进行数据增强,CTPN进行文字定位，CRNN进行文字识别以及FlaskWeb实现银行卡号码识别Github地址(https://www.oschina.net/action/GoToLink?urlhttps%3A%2F%2Fgithub.com%2Fbay1%2Fcardcrnnctpn)由于我并不是

版权声明：本文为博主原创文章，未经博主允许不得转载。https://blog.csdn.net/Thinking\_boy1992/article/details/53207177本文翻译自(https://www.oschina.net/action/GoToLink?urlhttps%3A%2F%2Fkeras.io%2Fgettingst

!(https://oscimg.oschina.net/oscnet/36a3beaf87260fc894b7a78922180362e8c.jpg)提到人工智能框架，开发者们脑子里立马会闪现出TensorFlow、Keras、PyTorch、MXNet、Caffe2、FastAI、MindSpore、飞桨(https://www.

!(https://oscimg.oschina.net/oscnet/36a3beaf87260fc894b7a78922180362e8c.jpg)提到人工智能框架，开发者们脑子里立马会闪现出TensorFlow、Keras、PyTorch、MXNet、Caffe2、FastAI、MindSpore、飞桨(https://www.

1，一般描述wesawthattheaccuracyofourmodelonthevalidationdatawouldpeakaftertrainingforanumberofepochs,andwouldthenstartdecreasing.Inotherwords,ourmodelw

importmatplotlib.pyplotaspltimportnumpyasnpfromkerasimportSequentialfromkeras.layersimportDensexnp.linspace(10,10,300)y3x

fromkeras.modelsimportSequentialfromkeras.layersimportDensefromkeras.datasetsimportmnistfromkeras.utilsimportnp_utils(X_train,y_train),(X

fromkeras.datasetsimportmnistfromkeras.layersimportDense,Dropoutfromkeras.modelsimportSequentialfromkeras.optimizersimportRMSpropfromkeras.uti

fromkeras.modelsimportSequentialfromkeras.layersimportDense,initializersfromkeras.optimizersimportSGDfromkeras.datasetsimportmnistfromkeras.ut