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MNITS_data 下载保存在本地,一定不要解压!不要解压!不要解压!因为input_data读取的是压缩包

>import tensorflow as tf
>from tensorflow.examples.tutorials.mnist import input_data
>input_data.read_data_stes("/home/wd/MNIST_data",one_hot=True)
WARNING:tensorflow:From <stdin>:1: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Please write your own downloading logic.
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use tf.data to implement this functionality.
Extracting /home/wd/MNIST_data/train-images-idx3-ubyte.gz
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use tf.data to implement this functionality.
Extracting /home/wd/MNIST_data/train-labels-idx1-ubyte.gz
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use tf.one_hot on tensors.
Extracting /home/wd/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /home/wd/MNIST_data/t10k-labels-idx1-ubyte.gz
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
> print(mnist.train.images.shape, mnist.train.labels.shape)
(55000, 784) (55000, 10)
> print(mnist.test.images.shape, mnist.test.labels.shape)
(10000, 784) (10000, 10)

补充知识:成功解决 \tensorflow\…\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.lea

解决问题

\tensorflow\contrib\learn\python\learn\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use alternatives such as official/mnist/dataset.py from tensorflow/models.

解决思路

警告位置:\tensorflow\contrib\learn\python\learn\datasets\mnist.py:290:

DataSet.__init__ 来自tensorflow.contrib.learn.python.learn.datasets.mnist)已弃用,将在将来的版本中删除。

解决方法

更新说明:

请使用tensorflow/models 中的 official/mnist/dataset.py 等备选方案。

以上这篇解决tensorflow读取本地MNITS_data失败的原因就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。

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P70系列延期,华为新旗舰将在下月发布

3月20日消息,近期博主@数码闲聊站 透露,原定三月份发布的华为新旗舰P70系列延期发布,预计4月份上市。

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根据目前爆料的消息来看,华为P70系列将推出三个版本,其中P70和P70 Pro采用了三角形的摄像头模组设计,而P70 Art则采用了与上一代P60 Art相似的不规则形状设计。这样的外观是否好看见仁见智,但辨识度绝对拉满。