The Illustrated Network
The Illustrated Network

Author: Walter Goralski

Publisher: Morgan Kaufmann

Published: 2009-10-01

Total Pages: 829

ISBN-13: 0080923224

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In 1994, W. Richard Stevens and Addison-Wesley published a networking classic: TCP/IP Illustrated. The model for that book was a brilliant, unfettered approach to networking concepts that has proven itself over time to be popular with readers of beginning to intermediate networking knowledge. The Illustrated Network takes this time-honored approach and modernizes it by creating not only a much larger and more complicated network, but also by incorporating all the networking advancements that have taken place since the mid-1990s, which are many. This book takes the popular Stevens approach and modernizes it, employing 2008 equipment, operating systems, and router vendors. It presents an ?illustrated? explanation of how TCP/IP works with consistent examples from a real, working network configuration that includes servers, routers, and workstations. Diagnostic traces allow the reader to follow the discussion with unprecedented clarity and precision. True to the title of the book, there are 330+ diagrams and screen shots, as well as topology diagrams and a unique repeating chapter opening diagram. Illustrations are also used as end-of-chapter questions. A complete and modern network was assembled to write this book, with all the material coming from real objects connected and running on the network, not assumptions. Presents a real world networking scenario the way the reader sees them in a device-agnostic world. Doesn't preach one platform or the other.Here are ten key differences between the two:StevensGoralski's Older operating systems (AIX,svr4,etc.)Newer OSs (XP, Linux, FreeBSD, etc.)Two routers (Cisco, Telebit (obsolete))Two routers (M-series, J-series)Slow Ethernet and SLIP linkFast Ethernet, Gigabit Ethernet, and SONET/SDH links (modern)Tcpdump for tracesNewer, better utility to capture traces (Ethereal, now has a new name!)No IPSecIPSecNo multicastMulticastNo router security discussedFirewall routers detailedNo WebFull Web browser HTML considerationNo IPv6IPv6 overviewFew configuration details More configuration details (ie, SSH, SSL, MPLS, ATM/FR consideration, wireless LANS, OSPF and BGP routing protocols - New Modern Approach to Popular Topic Adopts the popular Stevens approach and modernizes it, giving the reader insights into the most up-to-date network equipment, operating systems, and router vendors. - Shows and Tells Presents an illustrated explanation of how TCP/IP works with consistent examples from a real, working network configuration that includes servers, routers, and workstations, allowing the reader to follow the discussion with unprecedented clarity and precision. - Over 330 Illustrations True to the title, there are 330 diagrams, screen shots, topology diagrams, and a unique repeating chapter opening diagram to reinforce concepts - Based on Actual Networks A complete and modern network was assembled to write this book, with all the material coming from real objects connected and running on the network, bringing the real world, not theory, into sharp focus.

Networks of New York
Networks of New York

Author: Ingrid Burrington

Publisher: Melville House

Published: 2016-08-30

Total Pages: 95

ISBN-13: 1612195431

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A guided tour of the physical Internet, as seen on, above, and below the city’s streets What does the Internet look like? It’s the single most essentail aspect of modern life, and yet, for many of us, the Internet looks like an open browser, or the black mirrors of our phones and computers. But in Networks of New York, Ingrid Burrington lifts our eyes from our screens to the streets, showing us that the Internet is everywhere around us, all the time—we just have to know where to look. Using New York as her point of reference and more than fifty color illustrations as her map, Burrington takes us on a tour of the urban network: She decodes spray-painted sidewalk markings, reveals the history behind cryptic manhole covers, shuffles us past subway cameras and giant carrier hotels, and peppers our journey with background stories about the NYPD's surveillance apparatus, twentieth-century telecommunication monopolies, high frequency trading on Wall Street, and the downtown building that houses the offices of both Google and the FBI's Joint Terrorism Task Force. From a rising star in the field of tech jounalism, Networks of New York is a smart, funny, and beautifully designed guide to the endlessly fascinating networks of urban Internet infrastructure. The Internet, Burrington shows us, is hiding in plain sight.

Deep Learning Illustrated
Deep Learning Illustrated

Author: Jon Krohn

Publisher: Addison-Wesley Professional

Published: 2019-08-05

Total Pages: 725

ISBN-13: 0135121728

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"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

How the Internet Really Works
How the Internet Really Works

Author: Article 19

Publisher: No Starch Press

Published: 2020-12-08

Total Pages: 122

ISBN-13: 1718500300

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An accessible, comic book-like, illustrated introduction to how the internet works under the hood, designed to give people a basic understanding of the technical aspects of the Internet that they need in order to advocate for digital rights. The internet has profoundly changed interpersonal communication, but most of us don't really understand how it works. What enables information to travel across the internet? Can we really be anonymous and private online? Who controls the internet, and why is that important? And... what's with all the cats? How the Internet Really Works answers these questions and more. Using clear language and whimsical illustrations, the authors translate highly technical topics into accessible, engaging prose that demystifies the world's most intricately linked computer network. Alongside a feline guide named Catnip, you'll learn about: • The "How-What-Why" of nodes, packets, and internet protocols • Cryptographic techniques to ensure the secrecy and integrity of your data • Censorship, ways to monitor it, and means for circumventing it • Cybernetics, algorithms, and how computers make decisions • Centralization of internet power, its impact on democracy, and how it hurts human rights • Internet governance, and ways to get involved This book is also a call to action, laying out a roadmap for using your newfound knowledge to influence the evolution of digitally inclusive, rights-respecting internet laws and policies. Whether you're a citizen concerned about staying safe online, a civil servant seeking to address censorship, an advocate addressing worldwide freedom of expression issues, or simply someone with a cat-like curiosity about network infrastructure, you will be delighted -- and enlightened -- by Catnip's felicitously fun guide to understanding how the internet really works!

TCP/IP Illustrated: TCP for transactions, HTTP, NNTP, and the UNIX domain protocols
TCP/IP Illustrated: TCP for transactions, HTTP, NNTP, and the UNIX domain protocols

Author: W. Richard Stevens

Publisher: Addison-Wesley Professional

Published: 1996

Total Pages: 360

ISBN-13:

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TCP/IP Illustrated, Volume 3 covers four major topics of great importance to anyone working TCP/IP. It contains the first thorough treatment of TCP for transactions, commonly known as T/TCP, an extension to TCP that makes client-server transactions faster and more efficient. Next, the book covers two popular applications of T/TCP, the very hot topic of HTTP (the Hypertext Transfer Protocol), the foundation for the World Wide Web, and NNTP (the Network News Transfer Protocol), the basis for the Usenet news system. Both of these topics have increased in significance as the Internet has exploded in size and usage. Finally, the book covers UNIX Domain Protocols, protocols that are used heavily in UNIX implementations.

VPNs Illustrated
VPNs Illustrated

Author: Jon C. Snader

Publisher: Addison-Wesley Professional

Published: 2015-01-09

Total Pages: 699

ISBN-13: 0134171810

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Virtual private networks (VPNs) based on the Internet instead of the traditional leased lines offer organizations of all sizes the promise of a low-cost, secure electronic network. However, using the Internet to carry sensitive information can present serious privacy and security problems. By explaining how VPNs actually work, networking expert Jon Snader shows software engineers and network administrators how to use tunneling, authentication, and encryption to create safe, effective VPNs for any environment. Using an example-driven approach, VPNs Illustrated explores how tunnels and VPNs function by observing their behavior "on the wire." By learning to read and interpret various network traces, such as those produced by tcpdump, readers will be able to better understand and troubleshoot VPN and network behavior. Specific topics covered include: Block and stream symmetric ciphers, such as AES and RC4; and asymmetric ciphers, such as RSA and EIGamal Message authentication codes, including HMACs Tunneling technologies based on gtunnel SSL protocol for building network-to-network VPNs SSH protocols as drop-in replacements for telnet, ftp, and the BSD r-commands Lightweight VPNs, including VTun, CIPE, tinc, and OpenVPN IPsec, including its Authentication Header (AH) protocol, Encapsulating Security Payload (ESP), and IKE (the key management protocol) Packed with details, the text can be used as a handbook describing the functions of the protocols and the message formats that they use. Source code is available for download, and an appendix covers publicly available software that can be used to build tunnels and analyze traffic flow. VPNs Illustrated gives you the knowledge of tunneling and VPN technology you need to understand existing VPN implementations and successfully create your own.

NFS Illustrated
NFS Illustrated

Author: Brent Callaghan

Publisher: Addison-Wesley Professional

Published: 2000

Total Pages: 544

ISBN-13: 0201325705

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One of the original developers of the NFS and WebNFS offers unique insight into these key technologies, for both programmers creating and debugging NFS-based applications and network engineers creating new implementations. Readers can gain a deeper understanding of how network file protocols are designed and learn how NFS is implemented on UNIX, Windows NT, Java and web browsers.

Network Science
Network Science

Author: Albert-László Barabási

Publisher: Cambridge University Press

Published: 2016-07-21

Total Pages: 477

ISBN-13: 1107076269

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Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.

Deep Learning
Deep Learning

Author: Ian Goodfellow

Publisher: MIT Press

Published: 2016-11-10

Total Pages: 801

ISBN-13: 0262337371

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.