本文探讨了深度学习中的不同输出类型，包括分类、回归和结构化任务，并对比了强化学习的不同协议，涉及监督、无/半监督和强化学习的方法。详细介绍了批处理、在线学习和主动学习三种不同的学习协议及其特点。
Learning with different output space
1.classification
2.regression
3.structured:such as judging whether a sentence is legal
Learning with different reinforcement
1.supervised:every comes with corresponding
2.un/semi-supervised: no/some labeled data
3.reinforcement:learn with ‘partial/implicit information’(often sequentially)
Learning with different protocol
1.batch:input, ouput are confirmed and sent to machine a large amount
2.online:hypothesis ‘improves’ through receiving data instances sequentially
3.active:improve hypothesis with fewer labels(hopefully) by asking questions strategically
扫一扫
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
