我正在尝试在我的卷积神经网络中实现学习率调度,我为它实现了ReduceLROnPlateau
方法,但我遇到了这个错误。
我的进口清单
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import seaborn as sns
%matplotlib inline
import warnings
warnings.filterwarnings('ignore')
np.random.seed(0)
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix
import itertools
from keras.utils.np_utils import to_categorical # convert to one-hot-encoding
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D
from keras.optimizers import RMSprop
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import ReduceLROnPlateau
from keras.activations import selu
我用来实现它的代码:
reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.2,patience=5, min_lr=0.001)
我遇到的完整错误
我的代码在没有学习率调度器的情况下工作,这是每当我试图回调这个特定调度器时得到的错误。
谢谢
发布于 2020-06-26 18:44:38
将from keras.callbacks import ReduceLROnPlateau
更改为from tensorflow.keras.callbacks import ReduceLROnPlateau
可能会解决您的错误。这很可能是因为您混合了tensorflow和keras导入。
https://stackoverflow.com/questions/62591383
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