无法在 Keras 中解释优化器标识符 SGD

编程问答 2022-04-27

问题描述

我已经尝试替换这个

from keras.optimizers import SGD

与

from tensorflow.keras.optimizers import SGD

但这仍然不起作用

这是我的代码

from tensorflow.keras.optimizers import SGD 
from keras.initializers import RandomUniform
from keras.callbacks import TensorBoard
from tensorflow import keras
import tensorflow as tf
init = RandomUniform(minval=0,maxval=1)
model = Sequential()
model.add(Dense(5,input_dim=2,activation='tanh',kernel_initializer=init))
model.add(Dense(5,kernel_initializer=init))
model.add(Dense(1,activation='sigmoid',kernel_initializer=init))

opt = SGD(learning_rate = 0.01,momentum=0.9)
model.compile(loss='binary_crossentropy',optimizer= opt,metrics=['accuracy'])

tb = TensorBoard(histogram_freq=1,write_grads=True)

model.fit(trainX,trainy,validation_data=(testX,testy),epochs=500,verbose=0,callbacks=[tb])

这是错误：

ValueError                                Traceback (most recent call last)
<ipython-input-26-a0282a5bd896> in <module>
     28 # compile model
     29 opt = SGD(learning_rate = 0.01,momentum=0.9)
---> 30 model.compile(loss='binary_crossentropy',metrics=['accuracy'])
     31 # prepare callback
     32 tb = TensorBoard(histogram_freq=1,write_grads=True)

~\Anaconda3\lib\site-packages\keras\engine\training.py in compile(self,optimizer,loss,metrics,loss_weights,weighted_metrics,run_eagerly,steps_per_execution,**kwargs)
    546       self._run_eagerly = run_eagerly
    547 
--> 548       self.optimizer = self._get_optimizer(optimizer)
    549       self.compiled_loss = compile_utils.LossesContainer(
    550           loss,output_names=self.output_names)

~\Anaconda3\lib\site-packages\keras\engine\training.py in _get_optimizer(self,optimizer)
    584       return opt
    585 
--> 586     return tf.nest.map_structure(_get_single_optimizer,optimizer)
    587 
    588   @trackable.no_automatic_dependency_tracking

~\Anaconda3\lib\site-packages\tensorflow\python\util\nest.py in map_structure(func,*structure,**kwargs)
    865 
    866   return pack_sequence_as(
--> 867       structure[0],[func(*x) for x in entries],868       expand_composites=expand_composites)
    869 

~\Anaconda3\lib\site-packages\tensorflow\python\util\nest.py in <listcomp>(.0)
    865 
    866   return pack_sequence_as(
--> 867       structure[0],868       expand_composites=expand_composites)
    869 

~\Anaconda3\lib\site-packages\keras\engine\training.py in _get_single_optimizer(opt)
    575 
    576     def _get_single_optimizer(opt):
--> 577       opt = optimizers.get(opt)
    578       if (loss_scale is not None and
    579           not isinstance(opt,lso.LossScaleOptimizer)):

~\Anaconda3\lib\site-packages\keras\optimizers.py in get(identifier)
    131   else:
    132     raise ValueError(
--> 133         'Could not interpret optimizer identifier: {}'.format(identifier))

ValueError: Could not interpret optimizer identifier: <tensorflow.python.keras.optimizer_v2.gradient_descent.SGD object at 0x000001BDF251CB48>

解决方法

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