keras 中文文件當採用文件推薦方法即如下**匯入資料集時
from keras.datasets import fashion_mnist
(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()
import matplotlib.pyplot as plt
def load_data(path, files):
import gzip
import numpy as np
path = [path + each for each in files]
print(path)
with gzip.open(path[0], 'rb') as lbpath:
train_labels = np.frombuffer(lbpath.read(), np.uint8, offset=8)
with gzip.open(path[1], 'rb') as imgpath:
train_images = np.frombuffer(imgpath.read(), np.uint8, offset=16).reshape(len(train_labels), 28, 28)
with gzip.open(path[2], 'rb') as lbpath:
test_labels = np.frombuffer(lbpath.read(), np.uint8, offset=8)
with gzip.open(path[3], 'rb') as imgpath:
test_images = np.frombuffer(imgpath.read(), np.uint8, offset=16).reshape(len(test_labels), 28, 28)
return (train_images, train_labels), (test_images, test_labels)
path = './resource_files/fashion_mnist/'
files = ['train-labels-idx1-ubyte.gz', 'train-images-idx3-ubyte.gz',
't10k-labels-idx1-ubyte.gz', 't10k-images-idx3-ubyte.gz']
(train_images, train_labels), (test_images, test_labels) = load_data(path, files)
# 測試
執行結果
出現：using tensorflow backend.不需要理會
上述兩種方法可對其他資料集同理操作
ubuntu 絕對路徑：例如在目錄/home/local/temp下有乙個檔案filename.txt那麼filename.txt檔案的絕對路徑就是/home/local/tempubuntu 相對路徑：如果你當前路徑是在/home/temp下,那麼filename.txt檔案的相對路徑就是 ./temp注：ubuntu 中根目錄" / "；當前目錄" ./ "；當前目錄的上一級目錄(如果有上一級目錄的話)" ../ "；
參考：常用資料集datasets-keras資料的匯入
ubuntu相對路徑和絕對路徑
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