获得Palo alto Networks ACE Certification资格认证工程师，可以让您增加求职砝码，获得与自身技术水平相符的技术岗位，轻松跨入IT白领阶层拿取高薪。 Passing the ACE exam indicates that you possess the basic knowledge to successfully configure Palo Alto Networks firewalls using PAN-OS. The exam also serves as a study aid to prepare for PCNSE certification. Exam Format The ACE exam is web-based and consists of 40-50 multiple-choice questions. The exam is not timed, and you can retake it as many times as necessary to earn a passing score.

Computer Networks 英文第5版。

该书描述了网络页面链接之间的复杂系统，非常不错的经典书籍。

The wake-sleep algorithm for unsupervised neural networks 作者Hinton，提出Helmholtz机和wake-sleep算法

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence，非常有用的资料

Juniper Networks Network Connect 7.1.0.17943_x64 请大家注意，这个版本并不是越高越好，主要还是要看服务器上的配置。 我这里是Win7 x64 测试通过的

The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks. 包括计算机网络，社交网络和生物网络在内的网络研究在过去几年引起了极大的兴趣。互联网的兴起和廉价计算机的广泛应用使得以前所未有的规模收集和分析网络数据成为可能，新理论工具的开发使我们能够从多种不同类型的网络中提取知识。网络研究具有广泛的跨学科性，在许多领域都有发展，包括数学，物理，计算机和信息科学，生物学和社会科学。本书汇集了这些领域中最重要的突破，并以连贯的方式呈现，凸显了不同领域工作之间的紧密联系。 涵盖的主题包括网络测量;分析网络数据的方法，包括在物理学，统计学和社会学中开发的方法;图论的基本原理;计算机算法;网络的数学模型，包括随机图模型和生成模型;和网络上发生的动态过程理论。

神经网络与机器学习 在matlab中实现 英文原版 书中含有代码 指的参考

Master the technical skills and industry know-how to begin an exciting career installing, configuring, and troubleshooting computer networks with the completely updated NETWORK+ GUIDE TO NETWORKS, 7E. You can prepare for success on CompTIA's Network+ N10-006 certification exam with fully mapped coverage of all objectives, including protocols, topologies, hardware, network design, and troubleshooting. This edition addresses today's latest technology with new features that make essential information easily accessible and help you visualize high-level concepts. New OSI layer icons visually link concepts and the OSI model. New and updated "On the Job" stories, Applying Concepts activities, Hands-On and Case Projects let you explore concepts in more depth. The NETWORK+ GUIDE TO NETWORKS, 7E's emphasis on real-world problem solving provides the tools you need to succeed in any computing environment.

内容为时下最火热的神经网络和深度学习，该教程来源于美国Michael Nielsen的个人网站，他致力于把神经网络与深度学习的高深知识以浅显易懂的方式讲解出来，成为众多大牛推荐的必读网络资源之一。国内有识之士把其翻译成中文，方便了广大读者。是不可多得的优质资料！