[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fQI97jP74cCb-UqG1aAaeweWD1SESV2XSCZQwm-p1eK8":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":27,"type":53},[],"2023-05-07 20:40:40",33448215,[8,9,10,11],"重调整采用&quot;奖惩分明&quot;策略,即对于能够准确判断样本类型的权重,提高当前权重比例,反之则降低当前权重比例","感知器模型的关键,就是通过调整权重使一类样本可以激活神经元,而另一类则不会","一层感知器只能针对线性可分的数据集分类,无法解决异或(XOR)问题","感知器模型中的激活函数是二值函数时,损失函数是可导的",{"courseId":13,"courseImg":14,"courseName":15,"workId":16,"workName":17},"1000009004","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff4e4dd841924a91dc656054650011ffd.jpeg","人工智能基础导学","14774745","第七章单元测试","以下关于感知器的说法错误的是",[20,29,34,39,44,54,59,64,69,78],{"answer":21,"createTime":5,"id":22,"options":23,"question":26,"source":27,"type":28},[],33447912,[24,25],"对","错","v对于一个样本,如果当前权重能够正确判断其类型,就减小当前权重","v2",3,{"answer":30,"createTime":5,"id":31,"options":32,"question":33,"source":27,"type":28},[],33447922,[24,25],"神经网络是由一个神经元构成的",{"answer":35,"createTime":5,"id":36,"options":37,"question":38,"source":27,"type":28},[],33447940,[24,25],"隐含层,是指其中神经元的状态在输出端无法直接观测",{"answer":40,"createTime":5,"id":41,"options":42,"question":43,"source":27,"type":28},[],33448035,[24,25],"用生成式模型根据少量样本来估计整个类型的概率特征是很困难的",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":27,"type":53},[],33448046,[48,49,50,51],"二者都是由多个神经元组成的多层神经网络","输入信号向后传递的过程中,都是加权和的计算","二者学习的关键都是神经元的损失计算","二者都有输入、激活和输出","以下说法中,不属于感知器和FNN模型的相同点的是",0,{"answer":55,"createTime":5,"id":56,"options":57,"question":58,"source":27,"type":28},[],33448069,[24,25],"生成式模型模拟概率分布时,常用&quot;后验分布&quot;",{"answer":60,"createTime":5,"id":61,"options":62,"question":63,"source":27,"type":28},[],33448073,[24,25],"生成对抗网络结合了生成模型和判别模型",{"answer":65,"createTime":5,"id":66,"options":67,"question":68,"source":27,"type":28},[],33448103,[24,25],"判别式模型对问题本质缺乏了解,无法从个例中抽象出整体概念",{"answer":70,"createTime":5,"id":71,"options":72,"question":77,"source":27,"type":53},[],33448132,[73,74,75,76],"FNN的输出结果只能是向量","在FNN中,输入信号的传递方向是明确的,并不存在反向信号传递","一个标准的前馈神经网络只有一个输入层和一个输出层","FNN的同层神经元之间存在连接","以下关于前馈神经网络(FNN)的说法正确的是",{"answer":79,"createTime":5,"id":6,"options":80,"question":18,"source":27,"type":53},[],[8,9,10,11]]