MarI/O - Machine Learning for Video Games
推荐理由
his brief videos give a really nice introduction to the topic that should be accessible to most people
说明
这是2015年由SethBling发布的一部演示,主题归在Machine learning & deep learning。它讲的是neuroevolution这一支里的具体问题,而不是把整个领域扫一遍。适合第一次接触、还没有先修课的人。内容上可以概括成:SethBling shows MarI/O, a program using neural networks and the NEAT genetic algorithm to learn to play Super Mario World. The description links the source code, the paper and background reading.这些读者给出的理由,核心是:The go-to accessible introduction to neuroevolution and NEAT, praised for crediting prior research.讲法不绑某一条新闻,过几年仍然可以当材料看。从2015年到2026年,有10位不同的读者在10个不同月份把它推荐出来,其中明确叫别人去看的有3次。适合先看结果再决定要不要深挖的人。先看它做成了什么。如果已经会了基本定义,就把注意力放在它怎么把neuroevolution变成能跟着复述的例子。
视频信息
- 频道
- SethBling
- 时长
- 5 分 58 秒
- 发布年份
- 2015
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