用神经网络训练cifar10
init=tf.global_variables_initializer()
batch_size=20
train_steps=1000
with tf.Session() as sess:
for i in range(train_steps):
batch_data,batch_labels=train_data.next_batch(batch_size)
loss_val,acc_val,_=sess.run(
[loss,accuracy,train_op],
feed_dict=
{x: batch_data,
y: batch_labels})
if i%500==0:
print('[Train] Step:%d,loss:%4.5f,acc:%4.5f'\
%(i,loss_val,acc_val))
# ```
出现name 'train_data' is not defined问题不知道怎么解决了