*
找到本地keras目录下的mnist.py文件
通常在这个目录下。
..\Anaconda3\Lib\site-packages\keras\datasets

*
下载mnist.npz文件到本地
下载链接如下。
https://pan.baidu.com/s/1C3c2Vn-_616GqeEn7hQQ2Q
<https://pan.baidu.com/s/1C3c2Vn-_616GqeEn7hQQ2Q>

*
修改mnist.py文件为以下内容,并保存
from __future__ import absolute_import from __future__ import division from
__future__ import print_function from ..utils.data_utils import get_file import
numpy as np #cui 2018.07.08,修改 def load_data(path='mnist.npz'): """Loads the
MNIST dataset. # Arguments path: path where to cache the dataset locally
(relative to ~/.keras/datasets). # Returns Tuple of Numpy arrays: `(x_train,
y_train), (x_test, y_test)`. """ path = 'E:/Data/Mnist/mnist.npz'
#此处的path为你刚刚防止mnist.py的目录。注意斜杠 f = np.load(path) x_train, y_train =
f['x_train'], f['y_train'] x_test, y_test = f['x_test'], f['y_test'] f.close()
return (x_train, y_train), (x_test, y_test)
** OK,去尽请使用吧 **

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