书籍PPT | 名师带你学习《人工智能基本》(可下载)
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/w7BsHp77nMb2fLkNMjfJMOvSGWNv062rU3go89yTl3NEv8JMNkiaXfXNmyWue7s4sULQBeA5WDfkMyIRgCrf0xA/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p><span style="color: black;"><strong style="color: blue;">极速导读</strong></span>
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<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">本书内容<span style="color: black;">重点</span><span style="color: black;">触及</span>人工智能经典及实用的关键技术,以及人工智能近年来新发展的技术,<span style="color: black;">详细</span><span style="color: black;">包含</span>人脑认知、经典人工智能、经典人工神经网络、优化与智能计算、统计学习<span style="color: black;">办法</span>、深度学习、强化学习、自然语言处理、智能<span style="color: black;">设备</span>人。为了便于读者理解,在介绍关键技术的<span style="color: black;">同期</span>,列举了<span style="color: black;">有些</span>应用实例;<span style="color: black;">重点</span>章后均附有习题。 本书结合了编者<span style="color: black;">数年</span>来从事人工智能<span style="color: black;">研究</span>和<span style="color: black;">教育</span>的经验,注重内容的实用性和先进性。本书可<span style="color: black;">做为</span>普通高等院校理工科专业的“人工智能”通识课程的教材。</span></p>
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<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><a style="color: black;"><span style="color: black;"><img src="https://mmbiz.qpic.cn/mmbiz_png/w7BsHp77nMaOvdF1ExhCicajr1xYan7R5Ty6deITBAfPl56seForibjYV6C4SmHFGrESu9SpY5icOkMiaF7B64iavYg/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></span></a></p><strong style="color: blue;">《人工智能<span style="color: black;">基本</span>》</strong>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">上下滑动查看目录</span></strong></span></p><img src="https://mmbiz.qpic.cn/sz_mmbiz_jpg/w7BsHp77nMZfb1FAxt0D1tgfaJE9g5PfrNySexWR9eqBCXbIuwygTWO3rtr5ZREibiaCNW3enUH0339BWyHlV0Qw/640?wx_fmt=jpeg&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/w7BsHp77nMYRALfZPnTjWmcAROwpXya9TYB8BtmqolEWE3GKreVDXQWFJmZmNeP67FnFKiciaLFT8mU2j8NVKhXA/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><span style="color: black;">目录</span><span style="color: black;"><strong style="color: blue;">前言</strong></span><span style="color: black;"><strong style="color: blue;">第1章绪论</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">1.1人工智能的定义</strong></span><span style="color: black;"><strong style="color: blue;">1.2人工智能的诞生</strong></span><span style="color: black;"><strong style="color: blue;">1.3人工智能<span style="color: black;">科研</span>的<span style="color: black;">各样</span>学派及其理论</strong></span><span style="color: black;"><strong style="color: blue;">1.4人工智能的<span style="color: black;">科研</span>及应用<span style="color: black;">行业</span></strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第2章人脑认知</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">2.1脑科学与脑认知</strong></span><span style="color: black;"><strong style="color: blue;">2.2脑构造与脑神经</strong></span><span style="color: black;"><strong style="color: blue;">2.3视觉和听觉感知</strong></span><span style="color: black;"><strong style="color: blue;">2.4记忆与思维认知</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第3章经典人工智能</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">3.1知识<span style="color: black;">暗示</span><span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">3.2搜索技术</strong></span><span style="color: black;"><strong style="color: blue;">3.3知识推理</strong></span><span style="color: black;"><strong style="color: blue;">3.4不确定性推理</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第4章经典人工神经网络</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">4.1人工神经网络概述</strong></span><span style="color: black;"><strong style="color: blue;">4.2单层前向网络<span style="color: black;">归类</span>器</strong></span><span style="color: black;"><strong style="color: blue;">4.3多层前向网络</strong></span><span style="color: black;"><strong style="color: blue;">4.4单层反馈网络</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第5章优化与智能计算</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">5.1优化的基本概念</strong></span><span style="color: black;"><strong style="color: blue;">5.2凸优化、梯度下降与随机梯度</strong></span><span style="color: black;"><strong style="color: blue;">5.3智能优化<span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第6章统计学习<span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">6.1统计学习的基本概念</strong></span><span style="color: black;"><strong style="color: blue;">6.2最小二乘与压缩感知</strong></span><span style="color: black;"><strong style="color: blue;">6.3支持向量机及核<span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">6.4决策树、集成学习和随机森林</strong></span><span style="color: black;"><strong style="color: blue;">6.5无监督学习</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第7章深度学习</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">7.1深度学习概述</strong></span><span style="color: black;"><strong style="color: blue;">7.2卷积神经网络</strong></span><span style="color: black;"><strong style="color: blue;">7.3循环神经网络</strong></span><span style="color: black;"><strong style="color: blue;">7.4长短期记忆网络</strong></span><span style="color: black;"><strong style="color: blue;">7.5深度学习在图像语义分割的应用</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第8章强化学习</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">8.1什么是强化学习</strong></span><span style="color: black;"><strong style="color: blue;">8.2强化学习<span style="color: black;">基本</span></strong></span><span style="color: black;"><strong style="color: blue;">8.3基于模型的强化学习<span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">8.4无模型的强化学习<span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">8.5基于直接策略搜索的强化学习<span style="color: black;">办法</span></strong></span><span style="color: black;"><strong style="color: blue;">8.6强化学习前沿</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第9章自然语言处理</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">9.1自然语言处理概述</strong></span><span style="color: black;"><strong style="color: blue;">9.2自然语言处理<span style="color: black;">基本</span></strong></span><span style="color: black;"><strong style="color: blue;">9.3文本解析</strong></span><span style="color: black;"><strong style="color: blue;">9.4文本向量化<span style="color: black;">暗示</span></strong></span><span style="color: black;"><strong style="color: blue;">9.5语言模型与预测</strong></span><span style="color: black;"><strong style="color: blue;">9.6<span style="color: black;">设备</span>翻译</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span><span style="color: black;"><strong style="color: blue;">第10章智能<span style="color: black;">设备</span>人</strong></span><span style="color: black;"><strong style="color: blue;">导读</strong></span><span style="color: black;"><strong style="color: blue;">10.1智能<span style="color: black;">设备</span>人的<span style="color: black;">归类</span></strong></span><span style="color: black;"><strong style="color: blue;">10.2智能<span style="color: black;">设备</span>人的<span style="color: black;">关联</span>技术</strong></span><span style="color: black;"><strong style="color: blue;">10.3智能<span style="color: black;">设备</span>人的<span style="color: black;">状况</span></strong></span><span style="color: black;"><strong style="color: blue;">10.4智能<span style="color: black;">设备</span>人的广泛应用</strong></span><span style="color: black;"><strong style="color: blue;">10.5工业智能机械臂</strong></span><span style="color: black;"><strong style="color: blue;">10.6智能汽车</strong></span><span style="color: black;"><strong style="color: blue;">10.7脑控<span style="color: black;">设备</span>人</strong></span><span style="color: black;"><strong style="color: blue;">本章小结</strong></span><span style="color: black;"><strong style="color: blue;">习题</strong></span><span style="color: black;"><strong style="color: blue;">参考文献</strong></span>
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<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">☟<a style="color: black;"><span style="color: black;"><img src="data:image/svg+xml,%3C%3Fxml version=1.0 encoding=UTF-8%3F%3E%3Csvg width=1px height=1px viewBox=0 0 1 1 version=1.1 xmlns=http://www.w3.org/2000/svg xmlns:xlink=http://www.w3.org/1999/xlink%3E%3Ctitle%3E%3C/title%3E%3Cg stroke=none stroke-width=1 fill=none fill-rule=evenodd fill-opacity=0%3E%3Cg transform=translate(-249.000000, -126.000000) fill=%23FFFFFF%3E%3Crect x=249 y=126 width=1 height=1%3E%3C/rect%3E%3C/g%3E%3C/g%3E%3C/svg%3E" style="width: 50%; margin-bottom: 20px;"></span></a></p>
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