新书举荐 | 人工智能技术基本
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q4.itc.cn/q_70/images03/20240808/fab58e9f9af8481d8ab1217cf4e4210b.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">书名：</strong>人工智能技术<span style="color: black;">基本</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">书号：</strong>9787302-664208</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">作者：</strong>王科俊，卢桂萍，</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">张恩，<span style="color: black;">方宇杰，张连波</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">出版时间：</strong>2024年7月</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">内容介绍</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人工智能简介 | 神经网络<span style="color: black;">基本</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">卷积神经网络 | 循环神经网络</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">重视</span>力机制 | Transformer</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">知识图谱 | 图神经网络</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">生成式人工智能模型 | <span style="color: black;">设备</span>学习</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">亮</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">点</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">概</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">括</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">以全新角度介绍人工智能技术的<span style="color: black;">基本</span>理论和<span style="color: black;">办法</span>，强调深度神经网络<span style="color: black;">已然</span><span style="color: black;">作为</span>当前人工智能<span style="color: black;">各样</span>理论<span style="color: black;">办法</span>和应用的<span style="color: black;">基本</span>，指明知识图谱、图神经网络和生成式人工智能的构建和实现离不开深度神经网络的支撑，<span style="color: black;">知道</span><span style="color: black;">设备</span>学习<span style="color: black;">办法</span>是确定模型<span style="color: black;">尤其</span>是深度神经网络模型和各类应用框架参数的<span style="color: black;">办法</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">全书通俗易懂，仅需具备高等数学<span style="color: black;">基本</span>就<span style="color: black;">能够</span>学习人工智能技术的<span style="color: black;">基本</span>理论<span style="color: black;">办法</span>，全面<span style="color: black;">认识</span>当前人工智能技术的<span style="color: black;">状况</span>。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">配套资源</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">教育</span>大纲、<span style="color: black;">教育</span>课件、习题答案</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">本书<span style="color: black;">特殊</span></strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">将人工智能技术分为深度神经网络、知识图谱、图神经网络、生成式人工智能和<span style="color: black;">设备</span>学习<span style="color: black;">办法</span>5部分，体系新颖，内容完整。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">全书的理论<span style="color: black;">办法</span>通俗易懂，图文并茂，<span style="color: black;">表现</span>了作者的<span style="color: black;">研究</span>成果和对人工智能技术的独到见解。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">融入人工智能技术的最新成果，如构建大模型的<span style="color: black;">基本</span>Transformer、Bert和GPT，以及训练大模型的指示学习、提示学习和思维链技术等。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">适合<span style="color: black;">做为</span>高等学校开设人工智能技术课程的教材，<span style="color: black;">亦</span>可供<span style="color: black;">关联</span>专业的工程技术人员参考。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">配套的学习资源可从清华大学出版社网站获取。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">作者简介</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">王科俊</strong>，教授，博导。中国人工智能学会理事，黑龙江省人工智能学会理事长，黑龙江省神经科学学会副理事长，北京理工大学珠海校区教授，哈尔滨工程大学教授，黑龙江大学兼职教授。从事深度学习与神经网络、智能监控和多模态生物特征识别等方向的<span style="color: black;">科研</span>。完成<span style="color: black;">研究</span>项目30余项。<span style="color: black;">发布</span>论文350余篇，出版学术专著4部、教材3部，主审教材2部。<span style="color: black;">得到</span>部级科技进步二等奖3项、三等奖4项，省高校科学技术一等奖1项、二等奖1项。<span style="color: black;">得到</span>授权发明专利38项，国家版权局软件著作权登记登记1项。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">卢桂萍</strong>，教授、高级工程师。广东省工程图学学会理事，广东省科协学会学术项目评审专家，珠海市工业互联网协会理事，珠海市创客协会理事，珠海市科学技术协会专家，北京理工大学珠海校区教授。从事人工智能技术理论与应用、多模态情感识别、虚拟现实与网络化制造等方向<span style="color: black;">科研</span>。主持教<span style="color: black;">研究</span>项目20余项。<span style="color: black;">发布</span>论文40余篇。以主编、副主编身份出版教材8本。授权发明专利12项、计算机软件著作权3项。2014-2018年入选广东省“千百十”人才培养计划第八批培养对象。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">读者对象</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">人工智能、智能科学与技术专业本科生、<span style="color: black;">科研</span>生</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">全套<span style="color: black;">教育</span>PPT</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q0.itc.cn/q_70/images03/20240808/ec1004ec12dc4ba0a8e2aeb490d550f4.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">习题答案</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q1.itc.cn/q_70/images03/20240808/2d0160fe76c841a9bd7c755952b5bc44.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">精彩样章</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">向上滑动阅览</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q8.itc.cn/q_70/images03/20240808/a13818ffeb90418c898a24033f15894c.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q0.itc.cn/q_70/images03/20240808/b4faa9f6f0004ce990a3a4bc8b6aa905.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="//q6.itc.cn/q_70/images03/20240808/80d3ce6aed8c47f68377f90e82a4dfc5.jpeg" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">目录</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">向上滑动阅览</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第1章人工智能简介1</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.1人工智能的定义及发展历史1</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.1.1人工智能的定义1</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.1.2人工智能的发展历史1</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.2人工智能<span style="color: black;">办法</span>3</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.3人工智能的应用5</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.4人工智能的<span style="color: black;">将来</span>6</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.4.1近期发展<span style="color: black;">目的</span>6</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.4.2人工智能的<span style="color: black;">将来</span>7</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">1.5小结7</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习7</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第2章神经网络<span style="color: black;">基本</span>8</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.1生物神经元与生物神经网络8</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.1.1生物神经元8</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.1.2生物神经网络9</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.2人工神经元与人工神经网络9</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.2.1人工神经元9</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.2.2激活函数10</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.2.3人工神经网络13</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.3前向神经网络13</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.4反向传播算法14</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.4.1链式法则15</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.4.2梯度下降法15</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.4.3反向传播算法15</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.4.4反向传播算法的改进算法18</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.5处理数据和训练模型的技巧20</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.5.1数据预处理——数据标准化20</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.5.2权重初始化21</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.5.3防止过拟合的常用<span style="color: black;">办法</span>23</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">2.6小结24</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习24</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第3章卷积神经网络25</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.1卷积神经网络的特性25</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.1.1局部连接26</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.1.2权值共享26</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.1.3不变性27</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.2卷积神经网络结构和训练27</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.2.1卷积层27</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.2.2池化层32</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.2.3全连接层33</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.2.4卷积神经网络的训练35</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.3卷积神经网络经典模型36</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.3.1LeNet5网络37</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.3.2AlexNet网络38</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.3.3VGGNet网络41</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.3.4其他几种经典网络的基本结构42</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">3.4小结48</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习48</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第4章循环神经网络49</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.1循环神经网络的基本结构49</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.2循环神经网络的训练<span style="color: black;">办法</span>52</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.2.1标准循环神经网络的前向输出流程52</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.2.2循环神经网络的训练<span style="color: black;">办法</span>——随时间反向传播53</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.2.3循环神经网络训练过程中的梯度消失和梯度爆炸问题及<span style="color: black;">处理</span><span style="color: black;">办法</span>54</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.3循环神经网络拓展模型56</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.3.1简单循环网络56</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.3.2双向循环网络56</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.3.3长短期记忆网络57</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.3.4门控循环单元网络61</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.4循环神经网络的应用结构62</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.4.1同步的序列到序列结构（N到N）62</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.4.2序列<span style="color: black;">归类</span>结构（N到1）62</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.4.3向量到序列结构（1到N）62</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.4.4异步的序列到序列的模式（N到M）64</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">4.5小结65</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习65</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第5章<span style="color: black;">重视</span>力机制67</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.1软<span style="color: black;">重视</span>力机制的原理及计算过程68</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.2通道<span style="color: black;">重视</span>力和空间<span style="color: black;">重视</span>力70</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.2.1通道<span style="color: black;">重视</span>力70</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.2.2空间<span style="color: black;">重视</span>力73</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.2.3混合<span style="color: black;">重视</span>力73</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.3自<span style="color: black;">重视</span>力机制76</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.3.1自<span style="color: black;">重视</span>力机制的输入方式及特性76</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.3.2自注意力机制与RNN的区别79</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.3.3自<span style="color: black;">重视</span>力机制在视觉<span style="color: black;">行业</span>的应用80</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.4互<span style="color: black;">重视</span>力机制84</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">5.5小结85</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习85</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第6章Transformer86</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1Transformer的结构和工作原理86</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1.1Transformer的输入89</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1.2多头自<span style="color: black;">重视</span>力机制90</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1.3编码器结构92</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1.4译码器结构93</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1.5Transformer的训练95</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.1.6Transformer的特点分析96</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.2Transformer在NLP中的应用96</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.2.1BERT的基本原理和训练<span style="color: black;">办法</span>97</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.2.2GPT的基本原理和训练<span style="color: black;">办法</span>101</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.3Transformer在视觉<span style="color: black;">行业</span>中的应用104</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.3.1视觉Transformer104</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.3.2其他视觉Transformer106</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.3.3受ViT启发<span style="color: black;">处理</span>视觉问题的多层感知机112</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">6.4小结115</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习115</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第7章知识图谱116</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.1知识图谱的起源116</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.1.1知识工程和专家系统116</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.1.2语义网络、语义网、链接数据和知识图谱117</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.1.3知识图谱的定义118</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.2知识图谱的架构119</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.2.1<span style="color: black;">规律</span>架构119</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.2.2技术架构120</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.3知识抽取121</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.3.1非结构化数据的知识抽取122</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.3.2结构化数据的知识抽取130</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.3.3半结构化数据的知识抽取130</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.4知识融合134</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.4.1知识融合的基本技术流程136</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.4.2典型知识融合工具137</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.4.3实体链接140</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.4.4知识合并144</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.5知识加工145</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.5.1实体构建145</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.5.2知识推理146</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.5.3质量<span style="color: black;">评定</span>148</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.5.4知识更新148</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">7.6小结148</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习148</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第8章图神经网络149</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.1图论<span style="color: black;">基本</span>与图谱理论149</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.1.1图论<span style="color: black;">基本</span>149</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.1.2图谱理论151</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.2图神经网络基本原理153</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.2.1图神经网络的基本操作153</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.2.2多层GNN155</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.2.3GNN应用场景156</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.3图神经网络<span style="color: black;">归类</span>157</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.4卷积图神经网络158</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.4.1基于图谱理论的ConvGNN159</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.4.2基于空间的ConvGNN160</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.5图<span style="color: black;">重视</span>力网络161</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.6图生成网络163</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.7图时空网络164</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">8.8小结166</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习166</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第9章生成式人工智能模型167</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.1变分自编码器168</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.1.1原理概念168</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.1.2训练<span style="color: black;">办法</span>169</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.1.3应用<span style="color: black;">办法</span>170</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.2生成对抗网络171</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.2.1GAN的基本原理171</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.2.2GAN网络的几种结构172</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.2.3GAN训练中生成与训练集之间的<span style="color: black;">类似</span><span style="color: black;">评估</span><span style="color: black;">办法</span>174</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.3流模型177</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.3.1流模型的工作原理177</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.3.2流模型的<span style="color: black;">平常</span><span style="color: black;">归类</span><span style="color: black;">办法</span>178</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.3.3<span style="color: black;">平常</span>的流模型转换函数设计179</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.4扩散模型180</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.4.1去噪扩散概率模型DDPM181</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.4.2基于分数匹配的随机微分方程扩散模型183</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.4.3扩散模型的采样生成184</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.5稳定扩散模型186</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.5.1LDM隐式扩散187</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.5.2文本与图像的<span style="color: black;">相关</span><span style="color: black;">办法</span>——CLIP模型188</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.5.3其他<span style="color: black;">要求</span>下的生成模型189</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.5.4稳定扩散模型的应用190</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">9.6小结194</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习194</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">第10章<span style="color: black;">设备</span>学习195</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.1弱监督学习195</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.1.1主动学习196</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.1.2半监督学习197</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.2自监督学习198</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.2.1生成式自监督学习199</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.2.2判别式自监督学习200</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.3迁移学习202</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.4深度强化学习204</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.4.1强化学习系统概述205</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.4.2基于值函数的深度强化学习207</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.4.3基于策略的深度强化学习208</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.4.4基于演员—评论家的深度强化学习209</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.4.5多智能体深度强化学习210</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.5元学习和小（零）样本学习212</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.5.1基于模型的元学习<span style="color: black;">办法</span>213</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.5.2模型无关的元学习<span style="color: black;">办法</span>216</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.6<span style="color: black;">连续</span>学习218</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.6.1<span style="color: black;">连续</span>学习的应用场景和<span style="color: black;">重点</span>挑战219</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.6.2<span style="color: black;">连续</span>学习的<span style="color: black;">重点</span><span style="color: black;">办法</span>222</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.7大语言模型中的<span style="color: black;">设备</span>学习<span style="color: black;">办法</span>226</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.7.1提示学习和指示学习227</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.7.2上下文学习和思维链提示228</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.7.3基于人类反馈的强化学习233</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">10.8小结236</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">思考与练习236</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">参考文献237</p>
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