1.找到本地keras目录下的mnist.py文件,目录:
F:\python_enter_anaconda510\Lib\site-packages\tensorflow\python\keras\datasets
2.下载mnist.npz文件到本地,下载地址:
https://s3.amazonaws.com/img-datasets/mnist.npz
3.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
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)