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所以我有以下模型,我想测试一个想法。我对tf.nn.sigmoid_cross_entropy_with_logits()特别感兴趣,因为我的标签不是互斥的。tf.nn.sigmoid_cross_entropy_with_logits公司关于文档参数
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(tf.float32, shape=[None, 10])
w1 = tf.get_variable("w1", shape=[784, 512], initializer=tf.contrib.layers.xavier_initializer())
b1 = tf.Variable(tf.zeros([512], dtype=tf.float32))
w2 = tf.Variable(tf.zeros([512, 10], dtype=tf.float32))
b2 = tf.Variable(tf.zeros([10], dtype=tf.float32))
h = tf.nn.relu(tf.matmul(x, w1) + b1)
y = tf.matmul(h, w2) + b2
cross_entropy = tf.nn.sigmoid_cross_entropy_with_logits(labels=y_, logits=y)
train_step = tf.train.AdamOptimizer().minimize(cross_entropy)
with tf.Session() as sess:
sess.run(tf.initialize_all_variables())
start = time.time()
for i in range(20000):
batch = mnist.train.next_batch(50)
train_step.run(feed_dict={x: batch[0], y_: batch[1]})
但是,我重复出现以下错误,这似乎与张量流文档相矛盾。
Traceback (most recent call last):
File "mnist_test.py", line 19, in <module>
cross_entropy = tf.nn.sigmoid_cross_entropy_with_logits(labels=y_, logits=y)
TypeError: sigmoid_cross_entropy_with_logits() got an unexpected keyword argument 'labels'
请帮忙!!
有人能提供一个链接到老的张量流程文件?我无法在他们的网站上找到它。 –
@JoshuaHoward添加到答案 –