Tensorflow 对model.compile的两种描述得到了不同的结果 已经试过了

数据管道和模型构建功能是正确的

代码 代码是

我想知道为什么这两种对model.compile的描述会得到不同的结果

查看准确度

model.compile（优化器=tf.keras.optimizers.RMSprop（lr=0.01），loss='classifical\u crossentropy'，metrics=['acc']）

model.compile（'adam'，'categorical\u crossentropy'，metrics=['acc']）

Epoch 1/50
2019-05-27 13:53:20.280605: I tensorflow/stream_executor/dso_loader.cc:153] successfully opened CUDA library libcublas.so.10.0 locally
468/468 [==============================] - 6s 12ms/step - loss: 14.4332 - acc: 0.1045 - val_loss: 14.4601 - val_acc: 0.1029
Epoch 2/50
468/468 [==============================] - 3s 6ms/step - loss: 14.4354 - acc: 0.1044 - val_loss: 14.4763 - val_acc: 0.1023
Epoch 3/50
468/468 [==============================] - 3s 6ms/step - loss: 14.4359 - acc: 0.1044 - val_loss: 14.4714 - val_acc: 0.1026
Epoch 4/50
468/468 [==============================] - 3s 6ms/step - loss: 14.4359 - acc: 0.1044 - val_loss: 14.4682 - val_acc: 0.1028

Epoch 1/50
2019-05-27 13:51:16.122054: I tensorflow/stream_executor/dso_loader.cc:153] successfully opened CUDA library libcublas.so.10.0 locally
468/468 [==============================] - 5s 12ms/step - loss: 3.6567 - acc: 0.7388 - val_loss: 0.0732 - val_acc: 0.9791
Epoch 2/50
468/468 [==============================] - 3s 6ms/step - loss: 0.0812 - acc: 0.9760 - val_loss: 0.0449 - val_acc: 0.9854
Epoch 3/50
468/468 [==============================] - 3s 6ms/step - loss: 0.0533 - acc: 0.9836 - val_loss: 0.0428 - val_acc: 0.9869
Epoch 4/50
468/468 [==============================] - 3s 6ms/step - loss: 0.0426 - acc: 0.9871 - val_loss: 0.0446 - val_acc: 0.9872
Epoch 5/50
468/468 [==============================] - 3s 6ms/step - loss: 0.0376 - acc: 0.9886 - val_loss: 0.0449 - val_acc: 0.9867