Tensorflow注意事项
tf.train.batch和tf.train.shuffle_batch
返回batch的样本和样本标签
顺序输出batch:
$ tf.train.batch([example, label], batch_size=batch_size, capacity=capacity)
乱序输出batch:
$ tf.train.shuffle_batch([example, label], batch_size=batch_size, capacity=capacity, min_after_dequeue
- 要保证 min_after_dequeue < capacity
sess.run()
每次执行sess.run()之后batch会更新，debug找了好久… T T