我尝试运行此代码,但出现此错误,请任何人过去也遇到过相同的错误:
sgd = optimizers.SGD(lr = 0.01, decay = 1e-6, momentum = 0.9, nesterov = True)
编译模型
model.compile(optimizer = sgd, loss = OBJECTIVE_FUNCTION, metrics = LOSS_METRICS)
fit_history = model.fit_generator(
train_generator,
steps_per_epoch=STEPS_PER_EPOCH_TRAINING,
epochs = NUM_EPOCHS,
validation_data=validation_generator,
validation_steps=STEPS_PER_EPOCH_VALIDATION,
callbacks=[cb_checkpointer, cb_early_stopper]
)
model.load_weights("../working/best.hdf5")
现在我有这个错误:
File "", line 1, in runfile('C:/Users/ResNet50VF72.py', wdir='C:/Users/RESNET')
File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile execfile(filename, namespace)
File "C:\ProgramData\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/RESNET/ResNet50VF72.py", line 110, in model.compile(optimizer = sgd, loss = OBJECTIVE_FUNCTION, metrics = LOSS_METRICS)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 96, in compile self.optimizer = optimizers.get(optimizer)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\optimizers.py", line 793, in get str(identifier))
ValueError: Could not interpret optimizer identifier : <tensorflow.python.keras.optimizers.SGD object at 0x0000013887021208>