导入本地fashion-mnist数据集
from tensorflow.python.keras.utils import get_file
import gzip
import numpy as np
def load_data():
base = "file:///D:/fasionmnist/"
files = [
'train-labels-idx1-ubyte.gz', 'train-images-idx3-ubyte.gz',
't10k-labels-idx1-ubyte.gz', 't10k-images-idx3-ubyte.gz'
]
paths = []
for fname in files:
paths.append(get_file(fname, origin=base + fname))
with gzip.open(paths[

最低0.47元/天 解锁文章
9356





