我一直在试验一个Keras示例,它需要导入MNIST数据
from keras.datasets import mnist
import numpy as np
(x_train, _), (x_test, _) = mnist.load_data()
它会生成错误消息,如Exception: URL fetch failure on https://s3.amazonaws.com/img-datasets/mnist.pkl.gz: None -- [Errno 110] Connection timed out
它应该与我使用的网络环境相关。有没有什么函数或代码可以让我直接导入已经手动下载的MNIST数据集?
我尝试了以下方法
import sys
import pickle
import gzip
f = gzip.open('/data/mnist.pkl.gz', 'rb')
if sys.version_info < (3,):
data = pickle.load(f)
else:
data = pickle.load(f, encoding='bytes')
f.close()
import numpy as np
(x_train, _), (x_test, _) = data
然后,我得到以下错误消息
Traceback (most recent call last):
File "test.py", line 45, in <module>
(x_train, _), (x_test, _) = data
ValueError: too many values to unpack (expected 2)
https://stackoverflow.com/questions/40690203
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