电子信息学科概论

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工作技能层面
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必修课程 计算机辅助绘图
专业核心课程 程序设计实践
金工实习
企业项目实训
电子技术课程设计
选修课程 大学生职业发展教育 电子技能实训Ⅰ-焊接 与组装实验 电子技能实训II-表面贴 装技术 电子线路设计仿真与 实训实验 管理与创新导论 文献阅读与综述
机器学习 深度学习
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Google trend关键词搜索： 深度学习与机器学习
什么是机器学习？
“计算 机程序可 以在给定 某种类别的任务 T和性能度量 P 下学习经 验 E ，如果其在任务 T 中 的性能恰好可以用 P 度量， 则随着经验 E 而提高。”
示例
机器学习和根据人的身高估算体重 假设你想创建一个能够根据人的身高估算体重的 系统（也许你出自某些理由对这件事情感兴趣）。 那么你可以使用机器学习去找出任何可能的错误 和数据捕获中的错误，首先你需要收集一些数据， 让我们来看看你的数据是什么样子的：
Weight (in kg) = Height (in cm) - 100
我们收集更多的数 据 (experience)，模型就会变得 更好。我们也可以通过添加更 多变量（例如性别）和添加不 同的预测斜线来完善我们的模 型。
示 例
假如你要构建一个飓风预测系统。假设你手里有所有以 前发生过的飓风的数据和这次飓风产生前三个月的天气 信息。 如果要手动构建一个飓风预测系统，我们应该怎么做？
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成果及不足
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电子信息科学与技术
学科基础 层面
专业知识 层面
课程分类
工作技能 层面
学科基础层面
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Baidu Nhomakorabea
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必修课程
电子信息学科概论 通信电子电路
选修课程
通信原理
信息论基础 自动控制原理
通信电子电路实验
专业知识层面
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必修课程
专业核心课程 面向对象程序 设计
选修课程 水下感知 水下监测 水下探测
计算方法
数字系统设计
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工作完成情况
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我们可以把所有以前的数据输入到系统里面 来预测未来是否会有飓风。基于我们系统条 件的取值，评估系统的性能(系统正确预测飓 风的次数)。我们可以将系统预测结果作为反 馈继续多次迭代以上步骤。
什么是深度学习
“深度学习是一种特殊的机 器学习，通过学习将世界使 用嵌套的概念层次来表示并 实现巨大的功能和灵活性， 其中每个概念都定义为与简 单概念相关联，而更为抽象 的表示则以较不抽象的方式 来计算。”
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CHAMPION
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电子信息学科 机器学习和深度学习 对比 结尾
CONTENTS
电子信息学科
21世纪，随着现代科学技术的飞速发展，人类历史即将进入一个崭新的时代──信息时代。 其鲜明的时代特征是，支撑这个时代的诸如能源、交通、材料和信息等基础产业均将得到 高度发展，以能充分满足社会发展及人民生活的多方面需求。
电子信息学科
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检查图中是否有四条的线 检查它们是相连的、闭合 的和相互垂直 它们是否是相等的（嵌套的概念层次 结构）
从其他形状中 识别正方形
机器学习和深度学习的对比
硬件依赖
可解释性
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数据依赖性
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特征处理
执行时间
问题解决方式
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