我目前在Keras网站上关注这个入门教程:https://www.tensorflow.org/tutorials/keras/basic
中的几个步骤在调用fashion_mnist.load_data()后遇到此错误
AttributeError: module 'tensorflow.python.keras.datasets.fashion_mnist' has no attribute 'load_data'这是完整的输出:
Python 3.6.6 (v3.6.6:4cf1f54eb7, Jun 27 2018, 03:37:03) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> from tensorflow import keras
>>> fashion_mnist = keras.datasets.fashion_mnist
>>> (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow.python.keras.datasets.fashion_mnist' has no attribute 'load_data'我使用的是tensorflow 1.5.0、Keras 2.2.2和Python 3.6.6。
tensorflow的教程是过时了,还是我错过了什么?如果我使用mnist集而不是fashion_mnist,它可以正常工作。从这个链接https://www.tensorflow.org/api可以看出,fashion_mnist确实有一个名为load_data的函数。
发布于 2018-10-05 17:42:53
尝试
import tensorflow.contrib.keras.python.keras.datasetshttps://stackoverflow.com/questions/51675235
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