[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fFb67uTyiJv7c-y1HhS7fpUaZtCWJfSHERCR-By8g8l4":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2023-05-11 17:14:27",5603939,[8,9,10,11],"1, 2, 3, 4","4, 3, 2, 1","3, 1, 2, 4","1, 4, 3, 2",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},20,"64924cdea2649ef2585b9ca5fb3e3dc1","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F5dd07a76fd27c7eb82ff385c6860cdb4.png","人工智能基础","452ff2eb45c24758a6bbf81daba27ab5","人工神经网络与深度学习单元测试","【单选题】在感知机中(Perceptron)的任务顺序是什么?( )(1)初始化随机权重(2)去到数据集的下一批(batch)(3)如果预测值和输出不一致,改变权重(4)对一个输入样本,计算输出值",[21,32,41,50,58,67,70,81,90,99],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],5603934,[25,26,27,28],"一个神经元有多个输入和一个输出","一个神经元有一个输入和多个输出","一个神经元有多个输入和多个输出","上述都正确","【单选题】神经网络由许多神经元(Neuron)组成,每个神经元接受一个输入,处理它并给出一个输出.下列关于神经元的陈述中哪一个是正确的?( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],5603935,[36,37,38,39],"随机赋值,祈祷它们是正确的","搜索所有权重和偏差的组合,直到得到最佳值","赋予一个初始值,通过检查跟最佳值的差值,然后迭代更新权重","以上都不正确","【单选题】在一个神经网络里,知道每一个神经元的权重和偏差是最重要的一步.如果以某种方法知道了神经元准确的权重和偏差,你就可以近似任何函数.实现这个最佳的办法是什么?( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],5603936,[45,46,47,48],"1, 2, 3, 4, 5","5, 4, 3, 2, 1","3, 2, 1, 5, 4","4, 3, 1, 5, 2","【单选题】梯度下降算法的正确步骤是什么?( )(1)计算预测值和真实值之间的误差(2)迭代跟新,直到找到最佳权重(3)把输入传入网络,得到输出值(4)初始化随机权重和偏差(5)对每一个产生误差的神经元,改变相应的(权重)值以减小误差",{"answer":51,"createTime":5,"id":52,"options":53,"question":57,"source":30,"type":31},[],5603937,[54,55,56,39],"随机梯度下降","修正线性单元(ReLU)","卷积函数","【单选题】下列哪哪一项在神经网络中引入了非线性?( )",{"answer":59,"createTime":5,"id":60,"options":61,"question":66,"source":30,"type":31},[],5603938,[62,63,64,65],"循环神经网络","卷积神经网络","限制玻尔兹曼机","都不是","【单选题】下列哪一种架构有反馈连接?( )",{"answer":68,"createTime":5,"id":6,"options":69,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":71,"createTime":5,"id":72,"options":73,"question":79,"source":30,"type":80},[],5603940,[74,75,76,77,78],"神经网络的类型,例如:多层感知机(Multi-Layer Perceptrons, MLP),卷积神经网络(Convolutional Neural Networks, CNN)","输入数据","计算能力,即硬件和软件能力","学习率","输出函数映射","【多选题】下列哪些是影响神经网络的深度选择的因素?( )",1,{"answer":82,"createTime":5,"id":83,"options":84,"question":89,"source":30,"type":80},[],5603941,[85,86,87,88],"深度学习包含机器学习,人工智能包含深度学习","人工智能包含机器学习与深度学习,深度学习与机器学习并列","三个并列概念","人工智能包含机器学习,机器学习包含深度学习","【多选题】关于人工智能、机器学习、深度学习之间的关系 ,以下说法不正确的是( )",{"answer":91,"createTime":5,"id":92,"options":93,"question":98,"source":30,"type":80},[],5603942,[94,95,96,97],"数据","模仿","信息","解决问题","【多选题】在深度学习过程中,哪些选项不能算是训练机器智能的沃土( )",{"answer":100,"createTime":5,"id":101,"options":102,"question":107,"source":30,"type":80},[],5603943,[103,104,105,106],"神经网络对训练数据中的噪声非常鲁棒","可以处理冗余特征","训练ANN是一个很耗时的过程","至少含有一个隐藏多层的多层神经网络","【多选题】以下关于人工神经网络的描述正确的有( )"]