Mnist手写体数字

dawnload:http://yann.lecun.com/exdb/mnist

包括训练数据的图片和数据答案,包括测试数据的图片和答案

from tensorflow.examples.tutorials.mnist import input_data
mnist=input_data.read_data_sets("./Mnist",one_hot=True)
print("training data size:",mnist.train.num_examples)
print("Va;idating data size:",mnist.validation.num_examples)
print("testing data size:",mnist.test.num_examples)
print("examples training data:",mnist.train.images[0])
print("examples training data labels:",mnist.train.labels[0])
batch_size=100
zs,ys=mnist.train.next_batch(batch_size)
print("X shape:",xs.shape)
print("Y shape:",ys.shape)

  

posted @ 2020-09-26 00:51  goldstine  阅读(72)  评论(0)    收藏  举报