最近忽然想,学习一下tensorflow。。。。
# -*- coding:utf-8 -*-
import tensorflow as tf
import tensorflow.examples.tutorials.mnist.input_data as input_data
mnist = input_data.read_data_sets("/home/baobao/PycharmProjects/tensorflow_learning/data/", one_hot=True)
x = tf.placeholder(tf.float32, [None, 784])
W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))
y = tf.nn.softmax(tf.add(tf.matmul(x, W), b))
y_ = tf.placeholder(tf.float32, [None, 10])
cross_entropy = -tf.reduce_sum(tf.multiply(y_, tf.log(y)))
train = tf.train.GradientDescentOptimizer(0.01).minimize(cross_entropy)
correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init)
for i in range(1000):
batch_xs, batch_ys = mnist.train.next_batch(100)
sess.run(train, feed_dict={x: batch_xs, y_: batch_ys})
print(sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels}))
运行之后,准确率大概是91%左右