Download or read book Training and Deploying Visual Agents at Scale written by Linxi Fan and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous agents that perceive and interact with the world, such as home robots and self-driving vehicles, hold great promises to a future that automates mundane tasks and improves the living standards for billions of people. However, two major obstacles stand in our way towards this grand goal. First, modern AI systems require huge amount of data to learn meaningful behaviors, yet training them directly on physics robots is unscalable due to high cost and low efficiency. Second, mobile robot platforms typically have limited onboard computing resources but demand low reaction latency, which hinders the mass deployment of large-capacity visual models. In this dissertation, we will explore an effective recipe towards developing algorithms and systems that are able to train and deploy visual agents at scale. The key idea is to train the agents in rich simulation, then overcome the sim-to-real gap, and finally deploy efficiently on edge devices with lightweight video processing architectures. This dissertation is organized around 4 primary components in the pipeline. First, we propose an open-source distributed framework that provides a full-stack solution to accelerate reinforcement learning (RL) significantly for complex robotics tasks. Second, we construct an ecologically valid and visually realistic simulator for home robotic tasks. Third, we introduce a novel policy learning method that achieves zero-shot generalization to unseen visual environments with large distributional shifts, which facilitates sim-to-real transfer. Finally, we design a new family of video learning architectures that enables deep video understanding for visual agents on resource-constrained devices. We hope that the techniques and ideas presented in this dissertation will bring us one step closer to the future where intelligent robots will become as ubiquitous as smartphones in our lives.
Download or read book Hands On Machine Learning with Scikit Learn Keras and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Download or read book Visual Approaches to Instructional Design Development and Deployment written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2020-07-03 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Educational practices have seen a wide array of technological advancements in recent years. As learning methods making the transition to online and virtual settings, instructors are required to develop teaching plans that conform to the new era of e-learning. Designing, developing, and deploying these new instructional plans remain a challenge for educators due to a lack of research and knowledge in graphic design techniques. Visual Approaches to Instructional Design, Development, and Deployment is a collection of innovative research on visual-forward approaches to instructional design and applications of visual planning methods in creating effective learning environments. This book focuses on the advancement of online learning techniques using visual design technologies. While highlighting topics including image curation, visual planning, and textual thinking, this book is ideal for instructional designers, researchers, practitioners, instructors, developers, administrators, graphic artists, academicians, and students seeking current research on advancements in instructional design through the use of visual thinking strategies.
Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-22 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Download or read book TensorFlow 2 Reinforcement Learning Cookbook written by Praveen Palanisamy and published by Packt Publishing Ltd. This book was released on 2021-01-15 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key FeaturesDevelop and deploy deep reinforcement learning-based solutions to production pipelines, products, and servicesExplore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic methodCustomize and build RL-based applications for performing real-world tasksBook Description With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you’ll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch. What you will learnBuild deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras APIImplement state-of-the-art deep reinforcement learning algorithms using minimal codeBuild, train, and package deep RL agents for cryptocurrency and stock tradingDeploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud servicesSpeed up agent development using distributed DNN model trainingExplore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service)Who this book is for The book is for machine learning application developers, AI and applied AI researchers, data scientists, deep learning practitioners, and students with a basic understanding of reinforcement learning concepts who want to build, train, and deploy their own reinforcement learning systems from scratch using TensorFlow 2.x.
Download or read book Computer Vision ECCV 2020 Workshops written by Adrien Bartoli and published by Springer Nature. This book was released on 2021-01-09 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part I focusses on adversarial robustness in the real world; bioimage computation; egocentric perception, interaction and computing; eye gaze in VR, AR, and in the wild; TASK-CV workshop and VisDA challenge; and bodily expressed emotion understanding.
Download or read book Big Data Analytics written by Ümit Demirbaga and published by Springer Nature. This book was released on with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Deep Learning and Its Applications for Vehicle Networks written by Fei Hu and published by CRC Press. This book was released on 2023-05-12 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.
Download or read book Intelligence and Safety for Humanoid Robots Design Control and Applications written by Zhihong Tian and published by Frontiers Media SA. This book was released on 2022-02-07 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Federal Emergency Management Agency s Fiscal Year 2015 Budget Request written by United States. Congress. House. Committee on Homeland Security. Subcommittee on Emergency Preparedness, Response and Communications and published by . This book was released on 2014 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Service Oriented Holonic and Multi Agent Manufacturing Systems for Industry of the Future written by Theodor Borangiu and published by Springer Nature. This book was released on 2021-03-02 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientific theme of the book concerns “Manufacturing as a Service (MaaS)” which is developed in a layered cloud networked manufacturing perspective, from the shop floor resource sharing model to the virtual enterprise collaborative model, by distributing the cost of the manufacturing infrastructure - equipment, software, maintenance, networking - across all customers. MaaS is approached in terms of new models of service-oriented, knowledge-based manufacturing systems optimized and reality-aware, that deliver value to customer and manufacturer via Big data analytics, Internet of Things communications, Machine learning and Digital twins embedded in Cyber-Physical System frameworks. From product design to after-sales services, MaaS relies on the servitization of manufacturing operations such as: Design as a Service, Predict as a Service or Maintain as a service. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The book’s readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the ‘Industry of the Future’ vision. The book also addresses to master and Ph.D. students enrolled in Engineering Sciences programs.
Download or read book Theorizing and Analyzing Agency in Second Language Learning written by Ping Deters and published by Multilingual Matters. This book was released on 2015 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through several unique perspectives and contexts, this volume contributes to current understanding of agency in second language learning. It includes chapters discussing theoretical, analytical and pedagogical approaches, and will serve as a key reference for researchers of language learning and teaching.
Download or read book Practicing Trustworthy Machine Learning written by Yada Pruksachatkun and published by "O'Reilly Media, Inc.". This book was released on 2023-01-03 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You'll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention
Download or read book Making Sense of Turbulent Contexts written by Michelle Garred and published by Lulu.com. This book was released on 2015-05 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Local voices matter. World Vision offers this book, "Making Sense of Turbulent Contexts", to address a problematic gap within the field of conflict analysis: local knowledge. Analysing large-scale conflict in an inclusive, participatory way will increase the effectiveness of aid in turbulent settings. "Making Sense of Turbulent Contexts" identifies the current participation gap and presents the alternative concepts on which the participatory Making Sense of Turbulent Contexts (MSTC) framework is grounded. Included are concrete, step-by-step tools and seven case studies demonstrating specific MSTC results. The book concludes with a clear vision for the future of participatory macro-level conflict analysis.
Download or read book International Handbook of Computer Supported Collaborative Learning written by Ulrike Cress and published by Springer Nature. This book was released on 2021-10-08 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: CSCL has in the past 15 years (and often in conjunction with Springer) grown into a thriving and active community. Yet, lacking is a comprehensive CSCL handbook that displays the range of research being done in this area. This handbook will provide an overview of the diverse aspects of the field, allowing newcomers to develop a sense of the entirety of CSCL research and for existing community members to become more deeply aware of work outside their direct area. The handbook will also serve as a ready reference for foundational concepts, methods, and approaches in the field. The chapters are written in such a way that each of them can be used in a stand-alone fashion while also serving as introductory readings in relevant study courses or in teacher education. While some CSCL-relevant topics are addressed in the International Handbook of the Learning Sciences and the International Handbook of Collaborative Learning, these books do not aim to present an integrated and comprehensive view of CSCL. The International Handbook of Computer- Supported Collaborative Learning covers all relevant topics in CSCL, particularly recent developments in the field, such as the rise of computational approaches and learning analytics.
Download or read book Robot Operating System ROS written by Anis Koubaa and published by Springer Nature. This book was released on 2021-07-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the sixth volume of the successful book series on Robot Operating System: The Complete Reference. The objective of the book is to provide the reader with comprehensive coverage of the Robot Operating Systems (ROS) and the latest trends and contributed systems. ROS is currently considered as the primary development framework for robotics applications. There are seven chapters organized into three parts. Part I presents two chapters on the emerging ROS 2.0 framework; in particular, ROS 2.0 is become increasingly mature to be integrated into the industry. The first chapter from Amazon AWS deals with the challenges that ROS 2 developers will face as they transition their system to be commercial-grade. The second chapter deals with reactive programming for both ROS1 and ROS. In Part II, two chapters deal with advanced robotics, namely on the usage of robots in farms, and the second deals with platooning systems. Part III provides three chapters on ROS navigation. The first chapter deals with the use of deep learning for ROS navigation. The second chapter presents a detailed tuning guide on ROS navigation and the last chapter discusses SLAM for ROS applications. I believe that this book is a valuable companion for ROS users and developers to learn more ROS capabilities and features.
Download or read book Department of Transportation and Related Agencies Appropriations for 1996 written by United States. Congress. House. Committee on Appropriations. Subcommittee on Department of Transportation and Related Agencies Appropriations and published by . This book was released on 1995 with total page 1284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
