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'
赢10
蟒蛇 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))
原文由 gutolin 发布,翻译遵循 CC BY-SA 4.0 许可协议
我有同样的问题。我的 keras 版本是 2.7.0,我的 tensorflow 版本是 2.7.0,但是这条线
没有为我工作。您可以使用
反而