Traceback (most recent call last):
File "C:\Users\gutolinPC\Desktop\tensorflow.py", line 3, in <module>
from keras.datasets import mnist
File "C:\Program Files\Python37\lib\site-packages\keras\__init__.py", line 3,in <module>
from . import utils
File "C:\Program Files\Python37\lib\site-packages\keras\utils\__init__.py",
line 6, in <module>
from . import conv_utils
File "C:\Program Files\Python37\lib\site-packages\keras\utils\conv_utils.py",
line 9, in <module>
from .. import backend as K
File "C:\Program Files\Python37\lib\site-packages\keras\backend\__init__.py",
line 89, in <module>
from .tensorflow_backend import *
File "C:\Program Files\Python37\lib\site-
packages\keras\backend\tensorflow_backend.py", line 5, in <module>
import tensorflow as tf
File "C:\Users\gutolinPC\Desktop\tensorflow.py", line 3, in <module>
from keras.datasets import mnist
File "C:\Program Files\Python37\lib\site-
packages\keras\datasets\__init__.py", line 4, in <module>
from . import imdb
File "C:\Program Files\Python37\lib\site-packages\keras\datasets\imdb.py",
line 8, in <module>
from ..preprocessing.sequence import _remove_long_seq
File "C:\Program Files\Python37\lib\site-
packages\keras\preprocessing\__init__.py", line 12, in <module>
from . import image
File "C:\Program Files\Python37\lib\site-
packages\keras\preprocessing\image.py", line 11, in <module>
from keras_preprocessing import image
File "C:\Program Files\Python37\lib\site-
packages\keras_preprocessing\image\__init__.py", line 6, in <module>
from .dataframe_iterator import DataFrameIterator
File "C:\Program Files\Python37\lib\site-
packages\keras_preprocessing\image\dataframe_iterator.py", line 10, in <module>
from .iterator import BatchFromFilesMixin, Iterator
File "C:\Program Files\Python37\lib\site-packages\keras_preprocessing\image\iterator.py", line 13, in <module>
IteratorType = get_keras_submodule('utils').Sequence
AttributeError: module 'keras.utils' has no attribute 'Sequence'
Win 10
Python 3.7.0
Keras 2.2.4
Keras-Applications 1.0.7
Keras-Preprocessing 1.0.9
tensorboard 1.13.1
tensorflow 1.13.1
tensorflow-estimator 1.13.0
完整代码
import numpy
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import np_utils
numpy.random.seed(42)
(X_train, y_train), (X_test, y_test) = mnist.load_data()
X_train = X_train.reshape(60000, 784)
X_test = X_test.reshape(10000, 784)
X_train = X_train.astype('float32')
X_test = X_test.astype('float32')
X_train /= 255
X_test /= 255
Y_train = np_utils.to_categorical(y_train, 10)
Y_test = np_utils.to_categorical(y_test, 10)
model = Sequential()
model.add(Dense(800, input_dim=784, activation="relu",
kernel_initializer="normal"))
model.add(Dense(10, activation="softmax", kernel_initializer="normal"))
model.compile(loss="categorical_crossentropy", optimizer="SGD", metrics=["accuracy"])
print(model.summary())
model.fit(X_train, Y_train, batch_size=200, epochs=25, validation_split=0.2, verbose=2)
scores = model.evaluate(X_test, Y_test, verbose=0)
print("Точность работы на тестовых данных: %.2f%%" % (scores[1]*100))
8条答案
按热度按时间hgncfbus1#
我也有同样的问题。我的keras版本是2.7.0我的tensorflow版本是2.7.0
对我不起作用。您可以使用
相反
nukf8bse2#
keras==2.4.0和tensorflow==2.3.0的较新版本如下所示。
更换:
为
yfjy0ee73#
我在Keras 2.4.3中遇到了同样的错误。写作时
或
解决:
显然,这是从版本到版本的变化。
cdmah0mi4#
适用于Keras版本2.5.0和TF版本2.5.0
和使用
egdjgwm85#
使用keras==2.2.4和tensorflow==1.14.0运行上述代码。
没有错误。
升级TensorFlow应该可以解决这个问题。Cheers:)
gpfsuwkq6#
我正在运行Tensorflow 2.5.0版。通过反复试验,我发现keras.utils.np_utils可以工作。我猜他们在一些更新中把它移到了np_utils中,所以.to_categorical就可以正常工作了。
将“np_utils.to_categorical”更改为“keras.utils.np_utils.to_categorical”
uplii1fm7#
我正在运行Tensorflow 2.6.0版。通过反复试验,我发现
tf.keras.utils.to_categorical(y_train, num_classes)
可以工作。xfyts7mz8#
最新版本的Keras for Tensorflow需要更改:
到