- Python编程经验
- 熟悉电信行业相关概念
- 基本熟悉统计学和数学概念
受众
- 开发人员
- 数据科学家
机器学习是人工智能的一个分支，指计算机可以在不被明确编程的情况下学习。
深度学习是机器学习的一个子领域，它使用基于学习数据表示和结构（例如神经网络）的方法。
Python是一种高级编程语言，以其清晰的语法和代码易读性而闻名。
在这一由讲师引导的现场培训中，学员将逐步学习如何创建深度学习信用风险模型，从而学习如何使用Python实现用于电信行业的深度学习模型。
在本次培训结束后，学员将能够：
- 了解深度学习的基本概念。
- 了解深度学习在电信行业中的应用和用途。
- 使用Python、Keras、TensorFlow创建用于电信行业的深度学习模型。
- 使用Python构建自己的深度学习客户流失预测模型。
课程形式
- 互动讲座和讨论。
- 大量练习和实操。
- 在现场实验室环境中动手实现。
课程自定义选项
- 如需本课程的定制培训，请联系我们以作安排。
介绍
人工智能和机器学习基础
了解深度学习
- 深度学习基本概念概述
- 区分机器学习和深度学习
- 深度学习应用概述
神经网络概述
- 什么是神经网络？
- 神经网络与回归模型
- 了解数学基础和学习机制
- 构造人工神经网络
- 了解神经节点和连接
- 处理神经元、层、输入和输出数据
- 了解单层感知器
- 监督学习与无监督学习之间的差异
- 学习前馈和反馈神经网络
- 了解正向传播和反向传播
- 了解长期短期记忆（LSTM）
- 在实践中探索递归神经网络
- 在实践中探索卷积神经网络
- 改善神经网络的学习方式
电信行业中使用的深度学习技术概述
- 神经网络
- 自然语言处理
- 图像识别
- 语音识别
- 情绪分析
探索电信行业的深度学习案例研究
- 通过实时网络流量分析优化路由和服务质量
- 预测网络和设备故障、中断、需求激增等
- 实时分析呼叫以识别欺诈行为
- 分析客户行为以识别对新产品和服务的需求
- 处理大量SMS消息以获取见解
- 支持电话的语音识别
- 实时配置SDN和虚拟网络
了解电信深度学习的好处
探索适用于Python的各种深度学习库
- TensorFlow
- Keras
使用TensorFlow设置Python进行深度学习
- 安装TensorFlow Python API
- 测试TensorFlow安装
- 设置TensorFlow进行开发
- 训练您的第一个TensorFlow神经网络模型
使用Keras设置Python进行深度学习
使用Keras构建简单的深度学习模型
- 创建Keras模型
- 了解您的数据
- 指定您的深度学习模型
- 编译您的模型
- 拟合您的模型
- 处理您的分类数据
- 使用分类模型
- 使用您的模型
使用TensorFlow进行电信业深度学习
- 准备数据
- 下载数据
- 准备训练数据
- 准备测试数据
- 缩放输入
- 使用占位符和变量
- 指定网络架构
- 使用成本函数
- 使用优化器
- 使用初始化器
- 拟合神经网络
- 建立图表
- 推断（Inference）
- 损失（Loss）
- 训练
- 训练模型
- 图（graph）
- 会话（Session）
- 训练循环（Train Loop）
- 评估模型
- 建立评估图
- 评估输出评估
- 大规模培训模型
- 使用TensorBoard可视化和评估模型
动手练习：使用Python构建深度学习的客户流失预测模型
扩展公司的能力
- 在云中开发模型
- 使用GPU加速深度学习
- 将深度学习神经网络应用于计算机视觉、语音识别、文本分析
总结和结论
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Egypt - Deep Learning for Telecom (with Python)
Saudi Arabia - Deep Learning for Telecom (with Python)
South Africa - Deep Learning for Telecom (with Python)
Brasil - Deep Learning for Telecom (with Python)
Canada - Deep Learning for Telecom (with Python)
香港 - Deep Learning for Telecom (with Python)
澳門 - Deep Learning for Telecom (with Python)
台灣 - Deep Learning for Telecom (with Python)
USA - Deep Learning for Telecom (with Python)
Österreich - Deep Learning for Telecom (with Python)
Schweiz - Deep Learning for Telecom (with Python)
Deutschland - Deep Learning for Telecom (with Python)
Czech Republic - Deep Learning for Telecom (with Python)
Denmark - Deep Learning for Telecom (with Python)
Estonia - Deep Learning for Telecom (with Python)
Finland - Deep Learning for Telecom (with Python)
Greece - Deep Learning for Telecom (with Python)
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Ireland - Deep Learning for Telecom (with Python)
Luxembourg - Deep Learning for Telecom (with Python)
Latvia - Deep Learning for Telecom (with Python)
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Italia - Deep Learning for Telecom (with Python)
Lithuania - Deep Learning for Telecom (with Python)
Nederland - Deep Learning for Telecom (with Python)
Norway - Deep Learning for Telecom (with Python)
Portugal - Deep Learning for Telecom (with Python)
România - Deep Learning for Telecom (with Python)
Sverige - Deep Learning for Telecom (with Python)
Türkiye - Deep Learning for Telecom (with Python)
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Malaysia - Deep Learning for Telecom (with Python)
New Zealand - Deep Learning for Telecom (with Python)
Philippines - Deep Learning for Telecom (with Python)
Singapore - Deep Learning for Telecom (with Python)
Thailand - Deep Learning for Telecom (with Python)
Vietnam - Deep Learning for Telecom (with Python)
India - Deep Learning for Telecom (with Python)
Argentina - Deep Learning for Telecom (with Python)
Chile - Deep Learning for Telecom (with Python)
Costa Rica - Deep Learning for Telecom (with Python)
Ecuador - Deep Learning for Telecom (with Python)
Guatemala - Deep Learning for Telecom (with Python)
Colombia - Deep Learning for Telecom (with Python)
México - Deep Learning for Telecom (with Python)
Panama - Deep Learning for Telecom (with Python)
Peru - Deep Learning for Telecom (with Python)
Uruguay - Deep Learning for Telecom (with Python)
Venezuela - Deep Learning for Telecom (with Python)
Polska - Deep Learning for Telecom (with Python)
United Kingdom - Deep Learning for Telecom (with Python)
South Korea - Deep Learning for Telecom (with Python)
Pakistan - Deep Learning for Telecom (with Python)
Sri Lanka - Deep Learning for Telecom (with Python)
Bulgaria - Deep Learning for Telecom (with Python)
Bolivia - Deep Learning for Telecom (with Python)
Indonesia - Deep Learning for Telecom (with Python)
Kazakhstan - Deep Learning for Telecom (with Python)
Moldova - Deep Learning for Telecom (with Python)
Morocco - Deep Learning for Telecom (with Python)
Tunisia - Deep Learning for Telecom (with Python)
Kuwait - Deep Learning for Telecom (with Python)
Oman - Deep Learning for Telecom (with Python)
Slovakia - Deep Learning for Telecom (with Python)
Kenya - Deep Learning for Telecom (with Python)
Nigeria - Deep Learning for Telecom (with Python)
Botswana - Deep Learning for Telecom (with Python)
Slovenia - Deep Learning for Telecom (with Python)
Croatia - Deep Learning for Telecom (with Python)
Serbia - Deep Learning for Telecom (with Python)
Bhutan - Deep Learning for Telecom (with Python)