文章目录
- batch_size
- iteration
- epoch
- episode
batch_size
用minibatch方法时会定义batch_size,即把数据分几份后,每份的大小是多少。
iteration
迭代,每个循环的一遍,一次参数更新。用minibatch时就意味着train完一个batch
epoch
one forward pass and one backward pass of all the training examples, in the neural network terminology.即所有训练数据过一遍,如果数据有300条,你把数据分成了3个batch,batch_size是300 / 3 = 100,3个batch都跑完,即跑了三个iteration,就是一个epoch。
episode
one a sequence of states, actions and rewards, which ends with terminal state. 如果玩围棋,从头下到尾的一局棋就是一个episode。