Reputation: 131
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
Full code
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))
Upvotes: 12
Views: 34973
Reputation: 1
The latest version of Keras for Tensorflow needed a change from:
tf.keras.Sequential()
to
keras.Sequential()
Upvotes: 0
Reputation: 1
I'm running Tensorflow version 2.6.0. on colab. By trial and error, I found that tf.keras.utils.to_categorical(y_train, num_classes)
works.
Upvotes: 0
Reputation: 193
i had the same problem. and my keras versions is 2.7.0 and my tensorflow version is 2.7.0 and yet the line
keras.utils.Sequence
didnt work for me. you can use
keras.utils.all_utils.Sequence
instead
Upvotes: 13
Reputation: 11
For Keras Version- 2.5.0 and TF Version- 2.5.0
from tensorflow.keras.utils import to_categorical
and work with
keras.utils.to_categorical()
Upvotes: 1
Reputation: 1
I'm running Tensorflow version 2.5.0. By trial and error, I found that keras.utils.np_utils works. I guess they moved it into np_utils in some update, so with that .to_categorical works just fine.
change "np_utils.to_categorical" by "keras.utils.np_utils.to_categorical"
Upvotes: 0
Reputation: 51
I getting same error in Keras 2.4.3. when writing
from keras import utils
or
from keras.utils import to_categorical
Solving:
from keras.utils import np_utils
Apparenytly this changes from version to version.
Upvotes: 1
Reputation: 94
Newer versions of keras==2.4.0 and tensorflow==2.3.0 would work as follows.
Replacing:
from keras.utils import np_utils
for
from keras import utils as np_utils
Upvotes: 2
Reputation: 2342
Ran the above code by using keras==2.2.4 and tensorflow==1.14.0.
No errors.
Upgrading TensorFlow should solve the issue. Cheers :)
Upvotes: 0