[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fhQisgbIOs2qwfXNRKkso4bVorg5pIq_l5G3-37by7LI":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2026-01-23 07:27:38",315958599,[8,9,10,11],"防止过拟合","增强平移不变性","增加参数数量","降低特征维度",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},55,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","work_49715281","新建作业20260122224414","在卷积神经网络中,池化层的主要作用不包括以下哪项",[21,32,35,44,53,62,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],315958598,[25,26,27,28],"Tanh","ReLU","Sigmoid","ELU","以下哪种激活函数容易出现"神经元死亡"问题","v1",0,{"answer":33,"createTime":5,"id":6,"options":34,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":30,"type":31},[],315958600,[39,40,41,42],"He初始化","全0初始化","Xavier初始化","随机小数初始化","以下哪种初始化方法适合ReLU激活函数",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":30,"type":31},[],315958601,[48,49,50,51],"减少特征图大小","增加步幅","增加卷积核数量","保持特征图大小","在卷积神经网络中,特征图大小计算公式中,padding的作用是",{"answer":54,"createTime":5,"id":55,"options":56,"question":61,"source":30,"type":31},[],315958602,[57,58,59,60],"权重矩阵","激活函数","矩阵计算","偏置项","使神经网络具有非线性建模能力的关键是",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":30,"type":31},[],315958603,[66,67,68,69],"众数","均值","方差","中值","K均值聚类中,簇中心更新为簇内样本的______",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],315958604,[75,76,77,78],"分裂式","密度式","凝聚式","划分式","层次聚类中,将每个样本视为一个簇,逐步合并最近簇的方法称为______",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],315958605,[84,85,86,87],"噪声点","核心点","密度点","边界点","DBSCAN中,位于核心点邻域内但自身不满足核心点条件的点称为______",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],315958606,[93,94,95,96],"曼哈顿距离","切比雪夫距离","欧氏距离","马氏距离","在闵可夫斯基距离中,当 p=1 时,等价于______",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],315958607,[102,103,104,105],"基尼指数","信息增益比","信息熵","信息增益","决策树的建树过程中,CART算法使用什么作为分类任务的不纯净度度量"]