Neural networks explained with the example of feedforward vs. recurrent networks. Feedforward networks propagate data, while recurrent models allow loops for cascade effects. Recurrent networks are less influential but closer to the brain's function. Introduction to handwritten digit classification

0 views • 55 slides

Explore the evolving landscape of 5G technology, from enhanced mobile broadband to groundbreaking use cases and standalone networks. Learn how supportive regulations and spectrum allocation are vital for unlocking 5G's full potential. Discover the transformative impact of Standalone 5G networks on i

8 views • 10 slides

The challenges of Public-Private Partnerships (PPPs) in Chile within the framework of best practices and international standards are discussed, highlighting the need for long-term infrastructure planning and enhanced governance. The 2017 OECD Infrastructure Governance Review identified deficiencies

1 views • 40 slides

Module 7 of the Infrastructure Delivery Management System (IDMS) focuses on the Infrastructure Programme Implementation Plan (IPIP). It provides guidance to programme managers on applying management principles for effective planning and management of infrastructure projects. The module emphasizes sy

2 views • 33 slides

Wireless Communication Networks (WCN) is a fundamental aspect of modern telecommunication, allowing information transfer without physical connections. Dr. K. Gopi, an Associate Professor at the Department of ECE at SITAMS, introduces concepts like multiple access techniques, traffic routing, and the

1 views • 13 slides

In the realm of computer networks, nodes share resources through digital telecommunications networks. These networks enable lightning-fast data exchange and boast attributes like speed, accuracy, diligence, versatility, and vast storage capabilities. Additionally, various types of networks exist tod

9 views • 12 slides

Graph Neural Networks (GNNs) are a versatile form of neural networks that encompass various network architectures like NNs, CNNs, and RNNs, as well as unsupervised learning models such as RBM and DBNs. They find applications in diverse fields such as object detection, machine translation, and drug d

2 views • 48 slides

The presentation by the Infrastructure Development Bank of Zimbabwe (IDBZ) at the CIFOZ Congress 2018 outlines the critical infrastructure sectors, funding requirements, and the funding gap faced by Zimbabwe. IDBZ is mandated to facilitate infrastructure development in key sectors like ICT, housing,

1 views • 20 slides

The disparities in infrastructure investment pose significant challenges, with the nation facing an aging infrastructure that requires substantial funding for maintenance and upgrades. Despite the positive economic impacts of infrastructure investments, many communities struggle to access the necess

0 views • 12 slides

Learn how to build artificial neural networks from scratch, focusing on multi-level feedforward networks like multi-level perceptrons. Discover how neural networks function, including training large networks in parallel and distributed systems, and grasp concepts such as learning non-linear function

1 views • 33 slides

This presentation discusses the various tools and principles of infrastructure financing, including project finance, corporate finance, public finance, and blended finance. It covers the differences between financing and funding in infrastructure provision, the challenges faced by infrastructure ser

0 views • 32 slides

Artificial Neural Networks aim to mimic brain processing. Back-propagation is a key method to train these networks, optimizing weights to minimize loss. Multi-layer networks enable learning complex patterns by creating internal representations. Historical background traces the development from early

1 views • 24 slides

The Samsung SmartThings hub is a versatile device connecting Zigbee and Zwave networks, offering secure access to SkySpark via HTTPS. Zigbee and Zwave networks operate on distinct frequencies, enabling efficient communication without interference with WiFi. These networks support various devices for

0 views • 19 slides

Wireless Wide Area Networks (WWAN) utilize cellular network technology like GSM to facilitate seamless communication for mobile users by creating cells in a geographic service area. Cellular networks are structured with backbone networks, base stations, and mobile stations, allowing for growth and c

2 views • 17 slides

Interconnection networks are essential in multiprocessor systems, linking processing elements, memory modules, and I/O units. They enable data exchange between processors and memory units, determining system performance. Fully connected interconnection networks offer high reliability but require ext

1 views • 19 slides

Computer networks are vital for sharing resources, exchanging files, and enabling electronic communications. This content explores the basics of computer networks, the components involved, advantages like file sharing and resource sharing, and different network computing models such as centralized a

1 views • 96 slides

Infrastructure is crucial for economic growth in India, encompassing services like transport, power, communication, and more. The differing roles of social and economic infrastructure are outlined, highlighting their impact on human and economic resources. The significance of infrastructure lies in

0 views • 16 slides

The Infrastructure Prioritization Framework (IPF) is a tool designed to support the infrastructure planning process, aiming to address challenges such as infrastructure gaps, limited resources, and technical capacity constraints. The tool integrates social, environmental, and financial criteria to h

1 views • 25 slides

This course focuses on computer communication networks at Anjuman College of Engineering and Technology in Tirupati, covering topics such as basic concepts, network layers, IP addressing, hardware aspects, LAN standards, security, and administration. Students will learn about theoretical and practic

0 views • 72 slides

This presentation provides an introduction to neural networks in IBM SPSS Modeler 14.2. It covers the concepts of directed data mining using neural networks, the structure of neural networks, terms associated with neural networks, and the process of inputs and outputs in neural network models. The d

0 views • 18 slides

Global and regional knowledge networks play a vital role in agriculture by facilitating information sharing, collaboration, capacity building, and coordination among stakeholders. These networks improve access to information, foster collaboration, enhance capacity building, and strengthen coordinati

0 views • 5 slides

Router routing tables are crucial for directing packets to their destination networks. These tables contain information on directly connected and remote networks, as well as default routes. Routers use this information to determine the best path for packet forwarding based on network/next hop associ

0 views • 48 slides

The Governor's Agriculture and Forestry Industry Development (AFID) Infrastructure Grant Program is a new initiative to support community infrastructure projects that promote local food production and sustainable agriculture. Through this program, local governments can access funding to enhance thei

0 views • 24 slides

Analyzing the concept of structural similarity within Information Networks (INs), the study introduces P-Rank as a more advanced alternative to SimRank. By addressing the limitations of SimRank and offering a more efficient computational approach, P-Rank aims to provide a comprehensive measure of si

0 views • 17 slides

Aviation safety in Africa has been improved through the implementation of advanced communication networks like the SADC/1 and NAFISAT. These networks have replaced outdated infrastructure, allowing for reliable Air Traffic Services and data transmission. The initiative led by ATNS and IATA has signi

0 views • 15 slides

This content explores the concept of advanced classifiers like Neural Networks which compose complex relationships through combining perceptrons. It delves into the workings of the classic perceptron and how modern neural networks use more complex decision functions. The visuals provided offer a cle

0 views • 26 slides

Relational Bayesian networks play a crucial role in predicting ground facts and frequencies in complex relational data. Through first-order and ground probabilities, these networks provide insights into individual cases and categories. Learning Bayesian networks for such data involves exploring diff

0 views • 46 slides

A collaboration between the Chartered Institute of Building Services Engineers (CIBE) and the Association for Decentralised Energy (ADE) culminated in a key project finalized in June 2015, focusing on establishing standards for effective heat networks. The initiative aims to ensure that heat network

0 views • 8 slides

Terraform is a powerful tool used for building, changing, and versioning infrastructure efficiently and safely. It operates based on Infrastructure as Code principles, allowing for versioning of infrastructure configurations like any other code. With features like Execution Plans, Resource Graph, an

0 views • 27 slides

President Trump introduced a $1.5 trillion federal infrastructure package with a focus on regulatory reform, aiming to stimulate new investment, shorten project approval times, and address rural infrastructure needs. The plan includes $200 billion in new federal spending, leveraging funds for projec

0 views • 21 slides

This document presents an original model of infrastructure system resilience by exploring interdependent networks, cascading failures, and recovery strategies. It discusses formalization, basic dependence patterns, and interdependence of multiple networks for assessing infrastructure resilience. The

0 views • 13 slides

Overlay networks are logical networks built on top of lower-layer networks, allowing for efficient data lookup and reliable communication. They come in unstructured and structured forms, with examples like Gnutella and BitTorrent. Distributed Hash Tables (DHTs) are used in real-world applications li

0 views • 45 slides

Networks define the structure of interactions between agents, portraying relationships as ties or links. Various examples such as the 9/11 terrorists network, international trade network, biological networks, and historical marriage alliances in Florence illustrate the power dynamics within differen

0 views • 46 slides

Explore the concepts of graph theory and management science, focusing on networks, spanning trees, and their practical applications. Learn about the difference between a snowplow tracing streets, a traveler visiting cities, and connecting towns with cables. Discover how networks like Facebook evolve

0 views • 15 slides

Explore the construction and comparisons of various parallel prefix networks in divide-and-conquer algorithms, such as Ladner-Fischer, Brent-Kung, and Kogge-Stone. These networks optimize computation efficiency through parallel processing, showcasing different levels of latency, cell complexity, and

1 views • 21 slides

The County and State Transportation Infrastructure Initiatives in Dauphin County include the PennDOT Bridge Bundling Program, Dauphin County Infrastructure Bank, PennDOT Agility Program, and Next Generation Transit Revitalization Investment Districts. The Bridge Bundling Program aims to save time an

0 views • 26 slides

This research focuses on mining diverse social entities from linked data in social networks using a DF-tree structure and DF-growth mining algorithm. The study explores the extraction of important linked data in social networks and the mining of various social entities such as friends. Prominence va

0 views • 13 slides

The OSCAR Project is a proposed initiative for OPNFV by Stuart Mackie, focusing on system configuration and reporting deployment for OPNFV platform and virtual infrastructure. The project aims to create templates for building different OPNFV stacks, preload required VNFs, and enable rapid deployment

0 views • 14 slides

Project RAIN aims to address the impact of extreme weather events on critical infrastructure by developing risk management frameworks and mitigation tools. The project focuses on analyzing vulnerabilities, securing networks, implementing control systems, and designing criteria for building secure in

0 views • 10 slides

The RAIN Project focuses on assessing and mitigating the impact of extreme weather events on critical infrastructure across the EU. Through a systematic risk management framework, the project aims to enhance infrastructure security and minimize vulnerabilities. With a vision to develop a more resili

0 views • 25 slides