Angebote zu "Architectures" (31 Treffer)

Kategorien

Shops

Neural Network Methods in Natural Language Proc...
75,99 € *
ggf. zzgl. Versand

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Anbieter: buecher
Stand: 15.12.2019
Zum Angebot
THE TRAIN

Den Artikel THE TRAIN findest Du auch in unserer Kategorie: Dance & Electronic.

Anbieter: Qualigo
Stand: 15.12.2019
Zum Angebot
Neural Network Methods in Natural Language Proc...
75,99 € *
ggf. zzgl. Versand

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Anbieter: buecher
Stand: 15.12.2019
Zum Angebot
Guido Maria Kretschmer Home&Living Hocker Train...

Farbe Farbe papyrus Material Bezug Struktur Maßangaben Breite 137 cm Höhe 46 cm Tiefe 62 cm Hinweis Maßangaben Alle Angaben sind ca.-Maße. Lieferung & Montage Lieferzustand teilmontiert, nur Füße zu montieren

Anbieter: Qualigo
Stand: 15.12.2019
Zum Angebot
Cisco Networks
38,99 € *
ggf. zzgl. Versand

This book is a concise one-stop desk reference and synopsis of basic knowledge and skills for Cisco certification prep. For beginning and experienced network engineers tasked with building LAN, WAN, and data center connections, this book lays out clear directions for installing, configuring, and troubleshooting networks with Cisco devices. The full range of certification topics is covered, including all aspects of IOS, NX-OS, and ASA software. The emphasis throughout is on solving the real-world challenges engineers face in configuring network devices, rather than on exhaustive descriptions of hardware features. This practical desk companion doubles as a comprehensive overview of the basic knowledge and skills needed by CCENT, CCNA, and CCNP exam takers. It distills a comprehensive library of cheat sheets, lab configurations, and advanced commands that the authors assembled as senior network engineers for the benefit of junior engineers they train, mentor on the job, and prepare for Cisco certification exams. Prior familiarity with Cisco routing and switching is desirable but not necessary, as Chris Carthern, Dr. Will Wilson, Noel Rivera, and Richard Bedwell start their book with a review of the basics of configuring routers and switches. All the more advanced chapters have labs and exercises to reinforce the concepts learned. This book differentiates itself from other Cisco books on the market by approaching network security from a hacker's perspective. Not only does it provide network security recommendations but it teaches you how to use black-hat tools such as oclHashcat, Loki, Burp Suite, Scapy, Metasploit, and Kali to actually test the security concepts learned. Readers of Cisco Networks will learn How to configure Cisco switches, routers, and data center devices in typical corporate network architectures The skills and knowledge needed to pass Cisco CCENT, CCNA, and CCNP certification exams How to set up and configure at-home labs using virtual machines and lab exercises in the book to practice advanced Cisco commands How to implement networks of Cisco devices supporting WAN, LAN, and data center configurations How to implement secure network configurations and configure the Cisco ASA firewall How to use black-hat tools and network penetration techniques to test the security of your network

Anbieter: buecher
Stand: 15.12.2019
Zum Angebot
Kinderzimmer Pendelleuchte The Night Train 3xE27

Design und Materialausführung: Material: Kunststoff Farbe: Mehrfarbig Technische Daten: Anschlussspannung: 230 V max. Leistung: 3x60 W Fassung: 3xE27 Schutzklasse: II Schutzart: IP20 Dimmbar: mit geeignetem Leuchtmittel Zusatzfunktionen / Zubehör:

Anbieter: Qualigo
Stand: 15.12.2019
Zum Angebot
Cisco Networks
38,99 € *
ggf. zzgl. Versand

This book is a concise one-stop desk reference and synopsis of basic knowledge and skills for Cisco certification prep. For beginning and experienced network engineers tasked with building LAN, WAN, and data center connections, this book lays out clear directions for installing, configuring, and troubleshooting networks with Cisco devices. The full range of certification topics is covered, including all aspects of IOS, NX-OS, and ASA software. The emphasis throughout is on solving the real-world challenges engineers face in configuring network devices, rather than on exhaustive descriptions of hardware features. This practical desk companion doubles as a comprehensive overview of the basic knowledge and skills needed by CCENT, CCNA, and CCNP exam takers. It distills a comprehensive library of cheat sheets, lab configurations, and advanced commands that the authors assembled as senior network engineers for the benefit of junior engineers they train, mentor on the job, and prepare for Cisco certification exams. Prior familiarity with Cisco routing and switching is desirable but not necessary, as Chris Carthern, Dr. Will Wilson, Noel Rivera, and Richard Bedwell start their book with a review of the basics of configuring routers and switches. All the more advanced chapters have labs and exercises to reinforce the concepts learned. This book differentiates itself from other Cisco books on the market by approaching network security from a hacker's perspective. Not only does it provide network security recommendations but it teaches you how to use black-hat tools such as oclHashcat, Loki, Burp Suite, Scapy, Metasploit, and Kali to actually test the security concepts learned. Readers of Cisco Networks will learn How to configure Cisco switches, routers, and data center devices in typical corporate network architectures The skills and knowledge needed to pass Cisco CCENT, CCNA, and CCNP certification exams How to set up and configure at-home labs using virtual machines and lab exercises in the book to practice advanced Cisco commands How to implement networks of Cisco devices supporting WAN, LAN, and data center configurations How to implement secure network configurations and configure the Cisco ASA firewall How to use black-hat tools and network penetration techniques to test the security of your network

Anbieter: buecher
Stand: 15.12.2019
Zum Angebot
Drykorn Hose TRAIN Damen braun Gr. 28

Chinoshorts|gerader Schnitt|aus Baumwollmischung mit Elasthan-Anteil|knieumspielende Länge|mid waist|mit zwei Gesäßtaschen | mit seitlichen Eingrifftaschen|mit elastischem Bund | umgekrempelte Beinabschlüsse

Anbieter: Qualigo
Stand: 15.12.2019
Zum Angebot
GANs in Action
47,99 € *
ggf. zzgl. Versand

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks-one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Key Features- Understanding GANs and their potential- Hands-on code tutorials to build GAN models- Advanced GAN architectures and techniques like Cycle-Consistent Adversarial Networks- Handling the progressive growing of GANs- Practical applications of GANs Written for data scientists and data analysts with intermediate Python knowledge. Knowing the basics of deep learning will also be helpful. About the technology GANs have already achieved remarkable results that have been thought impossible for artificial systems, such as the ability to generate realistic faces, turn a scribble into a photograph-like image, are turn video footage of a horse into a running zebra. Most importantly, GANs learn quickly without the need for vast troves of painstakingly labeled training data. Jakub Langr graduated from Oxford University where he also taught at OU Computing Services. He has worked in data science since 2013, most recently as a data science Tech Lead at Filtered.com and as a data science consultant at Mudano. Jakub also designed and teaches Data Science courses at the University of Birmingham and is a fellow of the Royal Statistical Society. Vladimir Bok is a Senior Product Manager at Intent Media, a data science company for leading travel sites, where he helps oversee the company's Machine Learning research and infrastructure teams. Prior to that, he was a Program Manager at Microsoft. Vladimir graduated Cum Laude with a degree in Computer Science from Harvard University. He has worked as a software engineer at early stage FinTech companies, including one founded by PayPal co-founder Max Levchin, and as a Data Scientist at a Y Combinator startup.

Anbieter: buecher
Stand: 15.12.2019
Zum Angebot
Salewa - Lite Train K - Multisportschuhe Gr 7,5...

Leichte und bequeme Outdoorschuhe - Farbe: Blau; Gr: 7,5; geeignet für Reisen, Approach, Freizeit; Weitere Top-Angebote von Salewa im Online-Shop von Bergfreunde.de bestellen!

Anbieter: Qualigo
Stand: 15.12.2019
Zum Angebot
GANs in Action
47,99 € *
ggf. zzgl. Versand

Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks-one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Key Features- Understanding GANs and their potential- Hands-on code tutorials to build GAN models- Advanced GAN architectures and techniques like Cycle-Consistent Adversarial Networks- Handling the progressive growing of GANs- Practical applications of GANs Written for data scientists and data analysts with intermediate Python knowledge. Knowing the basics of deep learning will also be helpful. About the technology GANs have already achieved remarkable results that have been thought impossible for artificial systems, such as the ability to generate realistic faces, turn a scribble into a photograph-like image, are turn video footage of a horse into a running zebra. Most importantly, GANs learn quickly without the need for vast troves of painstakingly labeled training data. Jakub Langr graduated from Oxford University where he also taught at OU Computing Services. He has worked in data science since 2013, most recently as a data science Tech Lead at Filtered.com and as a data science consultant at Mudano. Jakub also designed and teaches Data Science courses at the University of Birmingham and is a fellow of the Royal Statistical Society. Vladimir Bok is a Senior Product Manager at Intent Media, a data science company for leading travel sites, where he helps oversee the company's Machine Learning research and infrastructure teams. Prior to that, he was a Program Manager at Microsoft. Vladimir graduated Cum Laude with a degree in Computer Science from Harvard University. He has worked as a software engineer at early stage FinTech companies, including one founded by PayPal co-founder Max Levchin, and as a Data Scientist at a Y Combinator startup.

Anbieter: buecher
Stand: 15.12.2019
Zum Angebot
Energy Efficient Vehicles 2014
48,90 CHF *
ggf. zzgl. Versand

Under the headline „Visions, Trends, and Solutions for Energy Efficient Vehicles“ the present state of technology and current trends in research and development in the field of energy efficient vehicles are discussed, based on actual development reports, system descriptions and case studies. Contents: Vehicle Aerodynamics and Thermal Management in Future Hybrid and Electrical Vehicles – Risks and Solutions for Modern Energy Harvesting – A Dynamic Programming Based Simulation Tool for Optimizing Vehicle System Efficiency – Cost-optimal Operational Strategies for Hybrid Vehicles – Simulative Determination of CO2 and Pollutant Emissions of a HEV with Multicriteria-optimised Operation Strategy in Customer Use – Estimation of the Optimal Length of Run of Electromobile Taking Into Account its Main Parameters – Driver Individual Energy Consumption Forecast – Using Online Data from Local Traffic Management Centers to Assist an Energy-Efficient Driving Behavior – Improvements on the Accuracy of Electro-mechanical Simulation of Series-parallel Hybrid System Power Train - Detailing the motor system including simulation model for the inverter and boost converter – Safe test bench equipment for automotive Lithium-ion batteries – Intelligent Charging Infrastructure Research Platform – Multi-physics modeling approach for energy efficient drive solutions – Requirements to Electrics/Electronics Architectures due to Dual Voltage Power Supplies with 48 Volt in Vehicles – Holistic approach for the design of power supply systems in an early development phase for future vehicles – Two voltage battery as one storage solution for a 12 V/48 V power supply – Hardware Test Bench for the Evaluation of E/E-Architectures with Respect to Partitioning of Vehicle Functions and Energy Efficiency – A system-orientated approach towards an integrated module-oriented model-based Electrical/Electronic architecture design Interested parties: Spezialisten und Anwender der Bereiche: Systemvernetzung – Software- und Hard-wareentwicklung – Forschung und (Vor-) Entwicklung – Systementwicklung, Applikation Editors: Univ.-Prof. Bernard Bäker, Chair of Vehicle Mechatronics, Dresden Institute of Automobile Engineering – IAD, Technische Universität Dresden, Dresden Dipl.-Ing. Lutz Morawietz, Chair of Vehicle Mechatronics, Technische Universität Dresden; IAM GmbH, Dresden

Anbieter: Orell Fuessli CH
Stand: 15.12.2019
Zum Angebot
Neural Network Methods in Natural Language Proc...
120,00 CHF *
ggf. zzgl. Versand

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Anbieter: Orell Fuessli CH
Stand: 15.12.2019
Zum Angebot
Neural Network Methods in Natural Language Proc...
236,00 CHF *
ggf. zzgl. Versand

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Anbieter: Orell Fuessli CH
Stand: 15.12.2019
Zum Angebot
AsyncRequest\Request Object ( [url:protected] => https://qualigo.com/doks/search.php?ean=TRUE&ref=www.p.de&ds=websucde&subs=websuche&query=train+Architectures&count=5 [handle:protected] => Resource id #13 )