tensorflow学习笔记8
逻辑回归框架1
import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import input_data mnist = input_data.read_data_sets('data/',one_hot=True) #one_hot=True编码格式为01编码 trainimg = mnist.train.images trainlabel = mnist.train.labels testimg = mnist.test.images testlabel = mnist.test.labels print(trainimg.shape) print(trainlabel.shape) print(testimg.shape) print(testlabel.shape) print(trainlabel[0])
trainimg55000个数据,28*28=784个像素
trainlabel10个label(0-9十个数字)