[Python 包] Tensorflow 2 测试数据集下载

思路

1. 设置本机代理 http://127.0.0.1:1087 ，科学上网操作

2. 关掉ssl验证

error

Exception: URL fetch failure on https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz: None -- [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1056)

源码

from __future__ import absolute_import, division, print_function, unicode_literals


import os
import ssl
import tensorflow as tf
os.environ['http_proxy'] = 'http://127.0.0.1:1087'
os.environ['https_proxy'] = 'https://127.0.0.1:1087'

ssl._create_default_https_context = ssl._create_unverified_context



if __name__ == "__main__":
    mnist = tf.keras.datasets.mnist
    (x_train, y_train), (x_test, y_test) = mnist.load_data()
    x_train, x_test = x_train / 255.0, x_test / 255.0


    model = tf.keras.models.Sequential([
    tf.keras.layers.Flatten(input_shape=(28, 28)),
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dropout(0.2),
    tf.keras.layers.Dense(10, activation='softmax')
    ])

    model.compile(optimizer='adam',
                loss='sparse_categorical_crossentropy',
                metrics=['accuracy'])


    model.fit(x_train, y_train, epochs=5)

    model.evaluate(x_test, y_test)

原文地址：

http://www.holdlg.com/post/tensorflow2-ce-shi-shu-ju-ji-xia-zai

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