人工智能学习资料大整理,硬十课堂上线免费AI实践课
<strong style="color: blue;"><span style="color: black;"><span style="color: black;">设备</span>学习和深度学习的理论知识学习资料分享</span></strong><span style="color: black;">参考吴恩达的<span style="color: black;">意见</span>,基本的数学知识和编程能力是“先决<span style="color: black;">要求</span>”,这些知识非常的丰富,有<span style="color: black;">非常多</span><span style="color: black;">途径</span><span style="color: black;">能够</span>获取,<span style="color: black;">咱们</span>在<span style="color: black;">这儿</span>就不赘述了。打下<span style="color: black;">必定</span><span style="color: black;">基本</span>后,你就要跑步进入下个环节,切不可沉迷其中,<span style="color: black;">不可</span>自拔。</span><span style="color: black;">下一步<span style="color: black;">便是</span>开启<span style="color: black;">咱们</span>的<span style="color: black;">设备</span>学习和深度学习之旅,你在论坛、公众号、技术内书籍上<span style="color: black;">能够</span>找到<span style="color: black;">海量</span>的知识。知识庞杂了可能会让你望而却步,<span style="color: black;">因此呢</span>先尝试着<span style="color: black;">创立</span>一条知识主干是非常必要的。<strong style="color: blue;">而一个“标准”的知识主干是需要<span style="color: black;">经过</span>有体系,有脉络的经典课程和经典数据喂出来的</strong>,下面和<span style="color: black;">大众</span>分享一下。</span><strong style="color: blue;">(1)课程</strong><span style="color: black;">:吴恩达,李宏毅,李沐,李飞飞这些大牛带起入门</span><p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">序号</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">书名</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">作者</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">获取资料参考<span style="color: black;">位置</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">1</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">吴恩达<span style="color: black;">设备</span>学习课程</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">吴恩达</span></p><span style="color: black;">https://www.bilibili.com/video/BV164411b7dx/?from=search&</span><span style="color: black;">seid=5261212643262908270&spm_id_from=333.337.0.0</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">2</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">李宏毅<span style="color: black;">设备</span>学习课程</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">李宏毅</span></p><span style="color: black;">https://www.bilibili.com/video/BV1Wv411h7kN/?from=search&seid=8235384940417024869&spm_id_from=333.337.0.0</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">跟李沐学AI</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">李沐</span></p><span style="color: black;">https://space.bilibili.com/1567748478?from=search&seid=10175670735421889683&spm_id_from=333.337.0.0</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">斯坦福大学的CS231n(<span style="color: black;">设备</span>视觉的深度学习)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">李飞飞等</span></p><span style="color: black;">h</span><span style="color: black;">ttp://cs231n.stanford.edu/</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">5</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">斯坦福大学的CS224n(<span style="color: black;">自然语言处理与深度学习)</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">Richard Socher</span></p><span style="color: black;">https://www.bilibili.com/video/BV1ct4y157Uf/?spm_id_from=333.337.search-card.all.click</span><span style="color: black;">尤其</span><span style="color: black;">举荐</span>:<strong style="color: blue;">《吴恩达:<span style="color: black;">怎样</span>系统学习<span style="color: black;">设备</span>学习?》</strong><span style="color: black;">吴恩达(Andrew)是人工智能和<span style="color: black;">设备</span>学习<span style="color: black;">行业</span>国际上最权威的学者之一,斯坦福大学教授,曾在2014年加入百度担任首席<span style="color: black;">专家</span>,负责百度<span style="color: black;">科研</span>院的领导工作,尤其是Baidu Brain计划。</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/b0j0OD7vd4nbmgdtGKSauJebgTYDc04qtSONiajuXCjqg3PEIOQUpnZibldNylIQcwTzJKZxu7Yc6COdbg9bRreg/640?wx_fmt=png&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp" style="width: 50%; margin-bottom: 20px;"></p><span style="color: black;">吴恩达在《<span style="color: black;">怎样</span>系统学习<span style="color: black;">设备</span>学习?</span><span style="color: black;">》中给出了<span style="color: black;">咱们</span><span style="color: black;">这般</span>的<span style="color: black;">意见</span>,<strong style="color: blue;">想要<span style="color: black;">作为</span>一名人工智能从业者,系统学习<span style="color: black;">设备</span>学习是重点,<span style="color: black;">意见</span><span style="color: black;">大众</span>遵循的<span style="color: black;">过程</span>是,先学习<span style="color: black;">基本</span>编码知识、再学习<span style="color: black;">设备</span>学习及深度学习、最后专注于一个角色</strong>。</span><span style="color: black;"><span style="color: black;">详细</span>的<span style="color: black;">意见</span>如下</span><strong style="color: blue;"><span style="color: black;">想要成功构建<span style="color: black;">设备</span>学习系统,基本的编程技能是先决<span style="color: black;">要求</span>:</span></strong><span style="color: black;">在<span style="color: black;">起始</span>实践<span style="color: black;">设备</span>学习算法之前,你需要具备编写一个简单的计算机程序(函数调用,for loops,<span style="color: black;">要求</span>语句,基本的数学操作)的能力。<span style="color: black;">把握</span><span style="color: black;">更加多</span>的数学知识当然你让你更具<span style="color: black;">优良</span>,但<span style="color: black;">亦</span>不必将精力<span style="color: black;">太多</span>投入到诸如线性代数、概率和统计<span style="color: black;">这般</span>的数学<span style="color: black;">基本</span>上。</span><strong style="color: blue;"><span style="color: black;">在学习了<span style="color: black;">基本</span>编码知识后,就<span style="color: black;">能够</span>正式<span style="color: black;">起始</span>你的<span style="color: black;">设备</span>学习之旅了:</span></strong><span style="color: black;"><span style="color: black;">例如</span>斯坦福大学推出的“<span style="color: black;">设备</span>学习课程”是你不错的<span style="color: black;">选取</span>。该课程<span style="color: black;">供给</span>了对<span style="color: black;">设备</span>学习、数据挖掘和统计模式识别的广泛介绍,能<span style="color: black;">帮忙</span><span style="color: black;">大众</span>有效构建对<span style="color: black;">设备</span>学习的认知和理解。</span><strong style="color: blue;"><span style="color: black;"><span style="color: black;">另外</span>,深度学习<span style="color: black;">亦</span>是你需要涉猎的<span style="color: black;">行业</span>:</span></strong><span style="color: black;">由DeepLearning.AI<span style="color: black;">研发</span>的“深度学习专业课程”涵盖了你在计算机视觉、自然语言处理和语音识别等领域构建应用程序所需的知识。你将从医疗保健、自动驾驶、手语阅读、音乐生成和自然语言处理等方面开展案例<span style="color: black;">科研</span>,以便于在<span style="color: black;">把握</span>理论知识的<span style="color: black;">基本</span>上<span style="color: black;">认识</span>深度学习在各行业中的<span style="color: black;">实质</span>应用。</span><strong style="color: blue;"><span style="color: black;">当你对<span style="color: black;">设备</span>学习和深度学习都有了较为深入的学习后,下一步行动将取决于你心中想要<span style="color: black;">作为</span>的角色</span></strong><span style="color: black;">,例如<span style="color: black;">作为</span>数据<span style="color: black;">专家</span>、<span style="color: black;">设备</span>学习工程师或<span style="color: black;">设备</span>学习研究员等,<span style="color: black;">也</span>或是将所学的AI技能与你<span style="color: black;">日前</span>从事的工作相结合,将人工智能更好地应用于现实世界问题。<strong style="color: blue;">确定角色之后就要迈入真正的实践环节了,必须在你的职业生涯中反复实践。</strong></span><span style="color: black;"><strong style="color: blue;"><span style="color: black;">(2)科普/<span style="color: black;">基本</span>类书籍:</span></strong><span style="color: black;">在被<span style="color: black;">各样</span>公式和代码<span style="color: black;">熬煎</span>前,先听听故事,<strong style="color: blue;">有了这些宏观视角后你<span style="color: black;">能够</span><span style="color: black;">创立</span>自己<span style="color: black;">设备</span>学习和深度学习的历史观。</strong>被认为是人工智能起点的1956年的达特茅斯会议有多少大神参加了?1972年明斯基是<span style="color: black;">怎样</span><span style="color: black;">经过</span>《感知机:计算几何简介》一书让<span style="color: black;">设备</span>学习进入漫长寒冬的?辛顿是<span style="color: black;">怎样</span>把深度学习从沉睡中唤醒的?黄仁勋教主<span style="color: black;">怎样</span>用GPU的暴力计算给人工智能加速的?而<span style="color: black;">将来</span>人工智能和人又将<span style="color: black;">一起</span>走向何方哪?</span></span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">序号</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">书名</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">作者</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">备注</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">1</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;">设备</span>之心</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">雷·库兹韦尔</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">中信出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">2</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人工智能全传</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">伍尔德里奇</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">浙江科学技术出版社·读客文化</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">3</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人工智能简史</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">约翰·马尔科夫</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">浙江人民出版社·湛庐文化</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">4</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人工智能简史</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">尼克</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">5</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习:智能时代的核心驱动力量</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">特伦斯·谢洛夫斯基</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">中信出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">原作名:The Deep Learning Revolution</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">6</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">你<span style="color: black;">必定</span>爱读的人工智能简史</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">山本一成</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">北京日报·阳光博客</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">7</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">AI 新生:破解人机共存<span style="color: black;">秘码</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">斯图尔特·罗素</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">中信出版集团</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">8</span></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</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">腾讯<span style="color: black;">科研</span>院</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">中国人民大学出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">9</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">硅谷简史:通往人工智能之路</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">钱纲</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">10</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">芯片改变世界</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">钱纲</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">11</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">AI芯片:前沿技术与创新<span style="color: black;">将来</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">张臣雄</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">12</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">详解FPGA:人工智能时代的驱动引擎</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">石侃</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">清华大学出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">下图是2006年,1956年会议五十年后摩尔,麦卡锡,明斯基等人重聚达特茅斯。</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/b0j0OD7vd4nbmgdtGKSauJebgTYDc04qK2kMz87pleqaIgzcUMOe7GMQcWYU9eeTfHTGbhVWvN65nkqRuaEL8Q/640?wx_fmt=png&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp" style="width: 50%; margin-bottom: 20px;"></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;"><strong style="color: blue;">(3)理论/实操类书籍:</strong>书籍是系统性学习知识的好<span style="color: black;">助手</span>,<span style="color: black;">大众</span>看到下面这些大部头都莫要恐慌,<span style="color: black;">举荐</span>一个<span style="color: black;">办法</span>,<span style="color: black;">便是</span><span style="color: black;">能够</span>买电子书,把这些书籍都down下来,<span style="color: black;">而后</span><span style="color: black;">所有</span>或部分打开,以2∽3本书为主线,先“速读”再“精读”,其他书籍做知识补充,遇到难以理解的部分找其它书籍内的描述做参考。</span></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;"> <span style="color: black;">咱们</span>在学习<span style="color: black;">设备</span>学习和深度学习中面临“要点、难点、问题点”时必须死磕,<span style="color: black;">例如</span><span style="color: black;">区别</span>的激活函数有啥妙用?BP算法中的数学原理是什么?卷积神经网络的设计原理是什么?CNN、RNN、GAN分别用在哪里?等等,<strong style="color: blue;">死磕这些问题时“态度要坚定,手段要灵活”,<span style="color: black;">倘若</span>采用“2∽3本书为主线,先速读再精读,其他书籍做知识<span style="color: black;">弥补</span>”的<span style="color: black;">办法</span>,<span style="color: black;">能够</span>帮你在有自己知识<span style="color: black;">规律</span>的<span style="color: black;">基本</span>上,快速甄别出“要点、难点、问题点”,<span style="color: black;">经过</span>博取众家之长、兼容并收的<span style="color: black;">办法</span>,高质量理解问题,悟到“突破点”。</strong></span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">序号</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">书名</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">作者</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">备注</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">13</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">数学通识讲义</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">吴军</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">中信出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">14</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">概率论通识讲义</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">刘嘉</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">新星出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">15</span></p><span style="color: black;">统计学习<span style="color: black;">办法</span>(第2版)</span><span style="color: black;">
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;">李航</p>
</span><span style="color: black;">清华大学出版社</span>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">16</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;">设备</span>学习</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">周志华</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">清华大学出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">17</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">从零<span style="color: black;">起始</span>:<span style="color: black;">设备</span>学习的数学原理和算法实践作者</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">大威</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">18</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">Python<span style="color: black;">设备</span>学习(原书第3版)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">塞巴斯蒂安·拉施卡</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">瓦希德·米尔贾利利</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">19</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">用Python学透线性代数和微积分</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">保罗·奥兰德</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">20</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">古德费洛&库维尔</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">21</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">刘鹏</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">电子工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">22</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">Python深度学习(原书第2版)</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">弗朗索瓦·肖莱</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">23</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习的数学</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">涌井良幸</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">涌井贞美</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">25</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习之美:AI时代的数据处理与最佳实践</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">张玉宏</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">电子工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">26</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习:主流框架和编程实战</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">赵涓涓;强彦</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">27</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习之TensorFlow:入门、原理与进阶实战</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">李金洪</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">28</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">MXNet深度学习实战</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">魏凯峰</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">29</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">深度学习实践:基于Caffe的解析</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">薛云峰</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">机械工业出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">30</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">PyTorch深度学习实战</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">伊莱·史蒂文斯</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">卢卡·安蒂加</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">托马斯·菲曼</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">31</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">PaddlePaddle Fluid深度学习入门与实战</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">潘志宏</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">人民邮电出版社</span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;">(4)<span style="color: black;">举荐</span>一门好用的实战课程</strong></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"> 当然<span style="color: black;">咱们</span>光有理论是<span style="color: black;">不足</span>的,<span style="color: black;">咱们</span>硬十在参与的多个边缘AI项目中(<span style="color: black;">例如</span>无人机、<span style="color: black;">设备</span>人)等,深刻体会到AI技术从课本里<span style="color: black;">步行到</span>行业中比想象的要<span style="color: black;">繁杂</span>的多。<strong style="color: blue;">客户要的是solution,而不是model,</strong><strong style="color: blue;">model是实验室的产物,而solution才是直面市场的"结果"。想有好的“结果”除了具备理论知识外,还要有<span style="color: black;">制品</span>化的设计思维,工程化的落<span style="color: black;">地区</span>案,实操性的问题<span style="color: black;">处理</span>手段。</strong>这些<span style="color: black;">亦</span>是当前的<span style="color: black;">非常多</span>课程和教材里缺乏的。</p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"> 硬十的一款新课<span style="color: black;">亦</span>即将上线(课程名:<span style="color: black;"><span style="color: black;">快速玩转算能AI微服务器SE5</span></span>),<span style="color: black;">咱们</span>基于<span style="color: black;">SOPHON AI微服务器推出了一款"接地气"的课程,SE5是一款高性能、低功耗边缘计算产品,搭载算能自主<span style="color: black;">开发</span>的第三代TPU芯片BM1684,INT8算力高达17.6TOPS,支持32路全高清视频硬件解码与2路编码,<span style="color: black;">咱们</span><span style="color: black;">期盼</span><span style="color: black;">经过</span>此课程帮你<span style="color: black;">认识</span></span><span style="color: black;"><span style="color: black;">了AI基本知识,又<span style="color: black;">把握</span>了AI基本应用。</span><span style="color: black;">这个课程是对“实操性”的知识总结,<span style="color: black;">亦</span>是“工程化”的思维<span style="color: black;">表现</span>。</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><strong style="color: blue;"><span style="color: black;">课程链接:</span></strong><span style="color: black;">https://www.hw100k.com/coursedetail?id=158</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;">长按二维码快速进入;限时免费,尽早购买</span></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><img src="https://mmbiz.qpic.cn/mmbiz_png/ewiaKibzhXCHOdzzHTuFXAVR2lLIU255oicEoZmhX2mHMlRZ0GIypcjfBs3FGxstBnDdpUSN7pHWNDAAZywMfVhPg/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></span></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/mmbiz_png/b0j0OD7vd4k1AicSRnGDqZ3DI6wfwx0FDE3Ho4YXKTRozAHaya5whcib14LeDtibw0auCFeRHkVG0pIibRyiaHdEULA/640?wx_fmt=png&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp" style="width: 50%; margin-bottom: 20px;"></p>
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;">(2)课程特点</strong></span></p><span style="color: black;"><strong style="color: blue;">一站式服务:</strong>所有应用遇到的<span style="color: black;">平常</span>问题都<span style="color: black;">能够</span>在<span style="color: black;">这儿</span>找到答案,<span style="color: black;">包含</span></span><span style="color: black;"><span style="color: black;">供给</span>AI微服务器全栈式的<span style="color: black;">处理</span><span style="color: black;">方法</span>,</span><span style="color: black;"><span style="color: black;">研发</span>过程步步拆解,详尽清晰,</span><span style="color: black;">支持所有的主流框架,<span style="color: black;">制品</span>易用。</span><strong style="color: blue;"><span style="color: black;">体系化<span style="color: black;">教育</span>:</span></strong><span style="color: black;">从环境搭建到应用<span style="color: black;">研发</span>,从模型转化到<span style="color: black;">制品</span>部署,镜像实战环境,回答实战中遇到的问题,<span style="color: black;">包含</span>,</span><span style="color: black;">环境是<span style="color: black;">怎样</span>搭建的?</span><span style="color: black;">模型是<span style="color: black;">怎样</span>编译</span><span style="color: black;">的?</span><span style="color: black;">应用是<span style="color: black;">怎样</span><span style="color: black;">研发</span>的?</span><span style="color: black;">场景是<span style="color: black;">怎样</span><span style="color: black;">安排</span>的?</span><img src="https://mmbiz.qpic.cn/mmbiz_png/b0j0OD7vd4k1AicSRnGDqZ3DI6wfwx0FDpc30cOWgd97dG8XTUGzBhX9Rbk4lMKUwJZSgty4h1q7aJ9bicLRCoicw/640?wx_fmt=png&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp" style="width: 50%; margin-bottom: 20px;"><strong style="color: blue;"><span style="color: black;">资料齐全:</span></strong><span style="color: black;">课程<span style="color: black;">包含</span>视频<span style="color: black;">教育</span>、文档<span style="color: black;">指点</span>、代码脚本等,详尽丰富,</span><span style="color: black;">课程介绍参考以下目录。</span><span style="color: black;"><img src="https://mmbiz.qpic.cn/mmbiz_png/b0j0OD7vd4k1AicSRnGDqZ3DI6wfwx0FDrEiaHoB7EMFW3H7qBDxkrXuOCn1VlPVJpiaia1I5MGAMeRT9WS2AryALw/640?wx_fmt=png&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp" style="width: 50%; margin-bottom: 20px;"></span><span style="color: black;"> 点进《阅读原文》,快速进入课程, 欢迎和<span style="color: black;">咱们</span><span style="color: black;">一块</span>学习<strong style="color: blue;"><img src="https://mmbiz.qpic.cn/mmbiz_png/b0j0OD7vd4k9VzMZjUXJu4CWDLPxRWg5ddsw2NKu9N5PKsuibhvG1fQRiaZYiahibePwQjIC871segotdiapjcw02BQ/640?wx_fmt=png&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp" style="width: 50%; margin-bottom: 20px;"></strong></span>
哈哈、笑死我了、太搞笑了吧等。 你的话语如春风拂面,温暖了我的心房,真的很感谢。 感谢你的精彩评论,带给我新的思考角度。
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