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TensorFlow 是 Google 所主导的机器学习框架，也是机器学习领域研究和应用的热门对象。 本书主要介绍如何使用 TensorFlow 库实现各种各样的模型，旨在降低学习门槛，并为读者解决问题提供详细的方法和指导。全书共 10 章，分别介绍了 TensorFlow 基础知识、聚类、线性回归、逻辑回归、不同的神经网络、规模化运行模型以及库的应用技巧。 本书适合想要学习和了解 TensorFlow 和机器学习的读者阅读参考。如果读者具备一定的 C++ 和 Python 的经验，将能够更加轻松地阅读和学习本书。

One year ago, Karan published his first book, Learning Ceph, Packt Publishing, which has been a great success. It addressed a need that a lot of users had: an easy-to-understand introduction to Ceph and an overview of its architecture. When an open source project has an enthusiastic community like Ceph does, the innovation and evolution of features happen at a rapid pace. Besides the core development team around Sage Weil at Red Hat, industry heavyweights such as Intel, SanDisk, Fujitsu, and Suse, as well as countless other individuals, have made substantial contributions. As a result, the project continues to mature both in capability and stability; the latter playing a key role in enterprise deployments. Many features and components that are now a part of Ceph were only in their infancy when Learning Ceph, Packt Publishing, came out; erasure encoding, optimized performance for SSDs, and the Virtual Storage Manager (VSM) are just a couple of examples. All of these are covered in great detail in this new book that you are holding in your hands right now. The other day, I read a blog where the author likened the significance of Ceph to the storage industry to the impact that Linux had on operating systems. While it is still too early to make that call, its adoption in the industry speaks for itself, with multi-petabyte-sized deployments becoming more and more common. Large-scale users such as CERN and Yahoo are regularly sharing their experiences with the community. The wealth of capabilities and the enormous flexibility to adapt to a wide range of use cases can sometimes make it difficult to approach this new technology, and it can leave new users wondering where to start their learning journeys. Not everybody has access to massive data centers with thousands of servers and disks to experiment and build their own experiences. Karan's new book, Ceph Cookbook, Packt Publishing, is meant to help by providing practical, hands-on advice for the many challenges you will encounter. As a long-time Ceph enthusiast, I have worked with Karan for several years and congratulate him on his passion and initiative to compile a comprehensive guide for first-time users of Ceph. It will be a useful guide to those embarking on deploying the open source community version of Ceph.

Docker 是个伟大的项目，它彻底释放了虚拟化的威力，极大降低了云计算资源供应的成本，同时让应用的 分发、测试、部署和分发都变得前所未有的高效和轻松！ 本书既适用于具备基础 Linux 知识的 Docker 初学者，也希望可供理解原理和实现的高级用户参考。同时， 书中给出的实践案例，可供在进行实际部署时借鉴。前六章为基础内容，供用户理解 Docker 的基本概念和 操作；7 ~ 9 章介绍一些高级操作；第 10 章给出典型的应用场景和实践案例；11 ~ 13 章介绍关于 Docker 实现的相关技术。14 ~ 17章介绍相关的一些开源项目

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