[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fPkQjLKqqxAZXWBlTDHpYSxyWI8p8mLm8J_ooboyPPSg":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":28,"type":29},[],"2023-12-10 21:23:40",112790106,[8,9,10,11],"用于在神经网络中引入非线性的函数","用于在神经网络中计算误差的函数","用于在神经网络中调整权重的函数","以上都不是",{"courseId":13,"courseImg":14,"courseName":15},"f20e2428c31261e30db352a88a06084e","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","机器学习","什么是激活函数",[18,30,39,46,54,63,70,78,84,92],{"answer":19,"createTime":20,"id":21,"options":22,"question":27,"source":28,"type":29},[],"2023-12-10 21:23:39",112790089,[23,24,25,26],"输入层","隐藏层","输出层","感知层","以下哪个不是神经网络中的层","v1",0,{"answer":31,"createTime":20,"id":32,"options":33,"question":38,"source":28,"type":29},[],112790091,[34,35,36,37],"训练神经网络","预测新实例","两者都是","两者都不是","前向传播是在哪个过程中进行的",{"answer":40,"createTime":20,"id":41,"options":42,"question":45,"source":28,"type":29},[],112790094,[43,44,36,37],"更新权重和偏差以最小化代价函数","前向传播输入到输出","反向传播是用于",{"answer":47,"createTime":20,"id":48,"options":49,"question":53,"source":28,"type":29},[],112790095,[50,51,52,11],"批量梯度下降每次使用整个训练集,而随机梯度下降每次使用一个样本","批量梯度下降每次使用一个样本,而随机梯度下降每次使用整个训练集","两者没有区别","批量梯度下降和随机梯度下降的主要区别是什么",{"answer":55,"createTime":20,"id":56,"options":57,"question":62,"source":28,"type":29},[],112790096,[58,59,60,61],"训练误差和验证误差都很高","训练误差高,验证误差低","训练误差低,验证误差高","训练误差和验证误差都很低","以下哪个是过拟合的一个例子",{"answer":64,"createTime":20,"id":65,"options":66,"question":69,"source":28,"type":29},[],112790099,[67,68,36,37],"过拟合","欠拟合","Dropout是用于防止什么现象的",{"answer":71,"createTime":20,"id":72,"options":73,"question":77,"source":28,"type":29},[],112790101,[74,75,76,11],"每次更新权重时的步长","训练集的大小","神经网络的层数","什么是学习率",{"answer":79,"createTime":20,"id":80,"options":81,"question":83,"source":28,"type":29},[],112790104,[23,25,24,82],"数据层","下列哪项不属于神经网络的基本组成部分",{"answer":85,"createTime":20,"id":86,"options":87,"question":91,"source":28,"type":29},[],112790105,[88,89,90,37],"批量梯度下降","随机梯度下降","两者都有","在训练神经网络时,我们通常使用的方法是",{"answer":93,"createTime":5,"id":6,"options":94,"question":16,"source":28,"type":29},[],[8,9,10,11]]