[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fXSMnoK2yX-AOgUFTUZsbxMx0s5VAqDvsEQtujjujaLk":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":16,"related":17,"source":21,"type":22},[],"2023-05-07 18:05:42",4700784,[8,9],"对","错",{"courseId":11,"courseImg":12,"courseName":13,"workId":14,"workName":15},"1000009025","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff54758487d8301812024ebde85c2bf0d.jpg","人工智能导论","2843213","第五章单元测试","支持向量机是最受欢迎、讨论最为广泛的机器学习分类方法之一.这种方法适用于高维空间(特征向量中有许多特征),并且可以有效地用于小型数据集.( )",[18,23,28,38,48,57,62,71,80,85],{"answer":19,"createTime":5,"id":6,"options":20,"question":16,"source":21,"type":22},[],[8,9],"v2",3,{"answer":24,"createTime":5,"id":25,"options":26,"question":27,"source":21,"type":22},[],4700787,[8,9],"朴素贝叶斯的一个有趣的特征是,它适用于非常大的数据集.( )",{"answer":29,"createTime":5,"id":30,"options":31,"question":36,"source":21,"type":37},[],4700790,[32,33,34,35],"通过构建多隐层的模型和海量训练数据,来学习更有用的特征,从而最终提升分类或预测的准确性",""深度模型"是手段,"特征学习"是目的","强调了模型结构的深度,通常有5-10多层的隐层节点","与人工规则构造特征的方法相比,利用大数据来学习特征,更能够刻画数据的丰富内在信息","对于深度学习说法正确的是:( )",1,{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":21,"type":47},[],4700795,[42,43,44,45],"Fast R-CNN","YOLO","Faster R-CNN","R-CNN","下列不属于two-stage检测算法的是:( )",0,{"answer":49,"createTime":5,"id":50,"options":51,"question":56,"source":21,"type":47},[],4701006,[52,53,54,55],"反馈及时迅速","无需监督,只有奖励","通用性及推广性强,智能体在真实不确定的新环境同样得到应用","智能体的行为将影响后续的数据,对环境产生持续影响","下列对强化学习特点说法错误的是:( )",{"answer":58,"createTime":5,"id":59,"options":60,"question":61,"source":21,"type":22},[],4701009,[8,9],"直接策略的RL直接优化目标函数,对策略进行参数化表示,与值函数相比,策略化参数的方法更简单,更容易收敛.( )",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":21,"type":47},[],4701015,[66,67,68,69],"大数据与强计算之间的矛盾","大数据与少标注之间的矛盾","普适化模型与个性化需求之间的矛盾","特定应用的需求","下列哪个选项不属于进行迁移学习的原因:( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":21,"type":37},[],4701026,[75,76,77,78],"围棋具有巨大的搜索空间","只能通过对之前落子的布局进行分析才能准确地确定棋子之间的关系","盘面评估与博弈树搜索紧密相关","高层次的围棋知识也很难归纳","人工智能技术解决了传统机器博弈理论的困难?( )",{"answer":81,"createTime":5,"id":82,"options":83,"question":84,"source":21,"type":22},[],4701031,[8,9],"随着人工智能的技术不断地发展,现如今机器也可以创造出令人惊叹的艺术画作,但暂时没能写出完整的小说.( )",{"answer":86,"createTime":5,"id":87,"options":88,"question":89,"source":21,"type":22},[],4701037,[8,9],"用人工智能技术学习的服装设计风格,建立一套自动给服装线稿添加配色、材质纹理的算法,可以在几秒之内生成任意数量的颜色材质搭配方案,帮助服装设计师更好更快的抓住潮流趋势.( )"]