Machine Learning with TensorFlow, 2nd Edition
简介：
Google的大规模机器学习库TensorFlow通过将它们表示为图形并有效地将图形的部分映射到集群中的机器或单个机器的处理器来简化通常复杂的计算。本书为读者提供了机器学习概念的坚实基础，以及使用Python编写TensorFlow的实践经验。您将通过使用经典的预测，分类和聚类算法来学习基础知识。然后，您将继续学习money章节: 探索深度学习概念，如自动编码器，递归神经网络和强化学习。消化这本书，您将准备好使用TensorFlow进行自己的机器学习和深度学习应用程序。更新了新代码，新项目和新章节，第二版为读者提供了机器学习概念和TensorFlow库的坚实基础。
将您的任务与正确的机器学习和深度学习方法相匹配使用TensorBoard可视化算法理解和使用神经网络
英文简介：
TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.
This book gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you'll move on to the money chapters: exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning.
Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own.
Updated with new code, new projects, and new chapters, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.
Matching your tasks to the right machine-learning and deep-learning approachesVisualizing algorithms with TensorBoardUnderstanding and using neural networks
- 书名
- Machine Learning with TensorFlow, 2nd Edition
- 译名
- 使用 TensorFlow 进行机器学习，第二版
- 语言
- 英语
- 年份
- 2020
- 页数
- 454页
- 大小
- 23.34 MB
- 标签
- 机器学习
- 下载
Machine Learning with TensorFlow, 2nd Edition.pdf- 密码
- 65536
最后更新：2025-04-12 23:54:38