import tensorflow as tf
sess = tf.InteractiveSession()
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.matmul(x,w) + b)
y_ = tf.placeholder(tf.float32,[None,10])
cross_entropy = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y),reduction_indices=[1]))
train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
tf.global_variables_initializer().run()
for i in range(1000):
batch_xs,batch_ys = mnist.train.next_batch(100)
train_step.run({x:batch_xs,y_:batch_ys})
correct_prediction = tf.equal(tf.argmax(y,1),tf.argmax(y_,1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction,tf.float32))
print(accuracy.eval({x:mnist.test.images,y_:mnist.test.labels}))
Traceback (most recent call last):
File "/home/zhudongmei/PycharmProjects/tensorflow/MNIST", line 10, in
tf.global_variables_initializer().run()
AttributeError: 'module' object has no attribute 'global_variables_initializer'
