TENSORFLOW程序设计
全新正版 急速发货
￥ 33.39 5.6折 ￥ 60 全新
库存33件
江苏无锡
认证卖家担保交易快速发货售后保障
作者马斌 著
出版社电子工业出版社
ISBN9787121486661
出版时间2024-09
装帧平装
开本其他
定价60元
货号1203367414
上书时间2024-10-25
- 在售商品 暂无
- 平均发货时间 14小时
- 好评率 暂无
商品详情
- 品相描述：全新
- 商品描述
-
目录
第1 章 TensorFlow 简介 ·············································································.1
1.1 人工智能的编程框架 ................................................................................................. 1
1.1.1 人工智能的发展 ............................................................................................. 1
1.1.2 人工智能、机器学习和深度学习之间的关系 ............................................. 2
1.2 TensorFlow 与人工智能 ............................................................................................ 3
1.3 TensorFlow 数据模型 ................................................................................................ 4
1.4 TensorFlow 计算模型和运行模型 ............................................................................ 5
1.5 实验：矩阵运算 ......................................................................................................... 9
1.5.1 实验目的 ......................................................................................................... 9
1.5.2 实验要求 ......................................................................................................... 9
1.5.3 实验原理 ......................................................................................................... 9
1.5.4 实验步骤 ....................................................................................................... 10
习题 .................................................................................................................................... 10
第2 章 Python 语言基础 ············································································.11
2.1 Python 语言 ............................................................................................................... 11
2.1.1 Python 语言的发展 ....................................................................................... 11
2.1.2 Python 安装 ................................................................................................... 12
2.2 基础语法 ................................................................................................................... 13
2.2.1 基础知识 ....................................................................................................... 13
2.2.2 基本程序编写 ............................................................................................... 15
2.2.3 条件语句 ....................................................................................................... 16
2.2.4 循环语句 ....................................................................................................... 17
2.3 数据结构 ................................................................................................................... 18
2.4 面向对象特性 ........................................................................................................... 21
2.4.1 类和对象 ....................................................................................................... 21
2.4.2 类的定义 ....................................................................................................... 22
2.4.3 根据类创建对象 ........................................................................................... 22
2.4.4 构造方法与析构方法 ................................................................................... 23
2.5 其他高级特性 ........................................................................................................... 24
2.5.1 函数高级特性 ............................................................................................... 24
2.5.2 闭包 ............................................................................................................... 25
2.6 实验：Python 基本语法的实现 ............................................................................... 26
2.6.1 实验目的 ....................................................................................................... 26
2.6.2 实验要求 ....................................................................................................... 26
2.6.3 实验题目 ....................................................................................................... 26
2.6.4 实验步骤 ....................................................................................................... 27
习题 .................................................................................................................................... 28
第3 章 环境搭建与入门 ·············································································.30
3.1 开发平台简介 ........................................................................................................... 30
3.2 开发环境部署 ........................................................................................................... 30
3.2.1 安装Anaconda .............................................................................................. 30
3.2.2 安装TensorFlow ........................................................................................... 32
3.2.3 PyCharm 下载与安装 ................................................................................... 32
3.3 一个简单的实例 ....................................................................................................... 34
习题 .................................................................................................................................... 36
第4 章 TensorBoard 可视化 ········································································.37
4.1 什么是TensorBoard.................................................................................................. 37
4.2 基本流程与结构 ....................................................................................................... 37
4.3 图表的可视化 ........................................................................................................... 39
4.3.1 计算图和会话 ............................................................................................... 39
4.3.2 可视化过程 ................................................................................................... 40
4.4 监控指标的可视化 ................................................................................................... 41
4.4.1 Scalar ............................................................................................................. 41
4.4.2 Images ........................................................................................................... 41
4.4.3 Histogram ...................................................................................................... 41
4.4.4 Merge_all....................................................................................................... 42
4.5 学习过程的可视化 ................................................................................................... 42
4.5.1 数据序列化 ................................................................................................... 43
4.5.2 启动TensorBoard ......................................................................................... 43
4.6 实验：TensorBoard 可视化实现 .............................................................................. 44
4.6.1 实验目的 ....................................................................................................... 44
4.6.2 实验要求 ....................................................................................................... 44
4.6.3 实验原理 ....................................................................................................... 45
4.6.4 实验步骤 ....................................................................................................... 45
习题 .................................................................................................................................... 49
第5 章 多层感知机实现 ·············································································.50
5.1 感知机 ....................................................................................................................... 50
5.1.1 感知机的定义 ............................................................................................... 50
5.1.2 感知机的神经元模型 ................................................................................... 51
5.1.3 感知机的学习算法 ....................................................................................... 51
5.1.4 感知机的性质 ............................................................................................... 52
5.2 多层感知机与前向传播 ........................................................................................... 53
5.2.1 多层感知机基本结构 ................................................................................... 53
5.2.2 多层感知机的特点 ....................................................................................... 54
5.3 前向传播 ................................................................................................................... 55
5.3.1 前向传播的计算过程 ................................................................................... 55
5.3.2 前向传播算法 ............................................................................................... 57
5.4 梯度下降 ................................................................................................................... 57
5.4.1 梯度 ............................................................................................................... 57
5.4.2 梯度下降的直观解释 ................................................................................... 58
5.4.3 梯度下降法的相关概念 ............................................................................... 58
5.4.4 梯度下降法的数学描述 ............................................................................... 59
5.4.5 梯度下降法的算法调优 ............................................................................... 60
5.4.6 常见的梯度下降法 ....................................................................................... 60
5.5 反向传播 ................................................................................................................... 61
5.5.1 反向传播算法要解决的问题 ....................................................................... 61
5.5.2 反向传播算法的基本思路 ......
相关推荐
— 没有更多了 —
以下为对购买帮助不大的评价