导入 Keras 时遇到问题

Question

这是完整的代码
在我导入 keras 之前，顶部运行良好。 我已经尝试安装和卸载keras，但是错误仍然存​​在

分类模板

# Importing the libraries
import numpy as my
import matplotlib.pyplot as plt
import pandas as pd

# Importing the dataset
dataset = pd.read_csv('Churn_Modelling.csv')
X = dataset.iloc[:, 3:13].values
y = dataset.iloc[:, 13].values

# Encoding categorical data
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
labelencoder_X_1 = LabelEncoder()
X[:, 1] = labelencoder_X_1.fit_transform(X[:, 1])
labelencoder_X_2 = LabelEncoder()
X[:, 2] = labelencoder_X_2.fit_transform(X[:, 2])
onehotencoder = OneHotEncoder(categorical_features = [1])
X = onehotencoder.fit_transform(X).toarray()
#Removing 1 Dummy Variable to avoid Dummy Variable Trap
X = X[:, 1:]


# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)

# Feature Scaling
from sklearn.preprocessing import StandardScaler
sc = StandardScaler()
X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)

# Part 2: Let's make the ANN
#Importing the keras library
import keras.backend
import keras
from keras.models import Sequential
from keras.layers import Dense

# Initialising the ANN
classifier = Sequential()

Answer 1

AttributeError: 模块 'tensorflow.python.keras.backend' 没有属性 'get_graph'

解决方案（在 cmets 中找到）是安装 keras 版本 2.2.4

例如：

pip install 'keras==2.2.4'

如果您高于该版本，您可以尝试使用此功能：

keras.backend.image_data_format()