课程大纲
介绍
TensorFlow 概述
- 什么是TensorFlow?
- TensorFlow 特点
什么是人工智能
- 计算心理学
- 计算哲学
Machine Learning
- 计算学习理论
- Computer 计算体验算法
Deep Learning
- 人工神经网络
- 深度学习与机器学习
准备开发环境
- 安装和配置 TensorFlow
TensorFlow 快速入门
- 使用节点
- 使用 Keras API
欺诈检测
- 读取和写入数据
- 准备功能
- 标记数据
- 规范化数据
- 将数据拆分为测试数据和训练数据
- 设置输入图像的格式
预测和回归
- 加载模型
- 可视化预测
- 创建回归
分类
- 构建和编译分类器模型
- 训练和测试模型
总结和结论
要求
- Python 编程经验
观众
- 数据科学家
客户评论 (5)
示例/练习完全适合我们的领域
Luc - CS Group
课程 - Scaling Data Analysis with Python and Dask
机器翻译
培训师非常乐意回答我所做的所有问题
Caterina - Stamtech
课程 - Developing APIs with Python and FastAPI
机器翻译
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
课程 - Build REST APIs with Python and Flask
传授培训师的实践知识和经验。
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
课程 - GUI Programming with Python and PyQt
机器翻译
As I was the only participant the training could be adapted to my needs.