Paperspace

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Paperspace

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Author :
language : en
Publisher:
Release Date : 2006

Paperspace written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Personal document management systems provide good support for storing and organizing digital documents. However, there are no computer tools that support organization of paper documents on our desks. We ran a study of people's organization of their office desk space with respect to their digital workspace. This study resulted in a set of requirements for a media bridging tool. Based on these requirements, we built a prototype media bridging tool called PaperSpace that uses computer vision to link paper and digital documents. The system also tracks piles of paper documents on the real desktop, and links those papers to digital documents stored in the computer. Digital documents can be sorted and grouped according to the physical layout of the corresponding papers on the desk. The system automatically creates digital piles of documents in a simulated desktop that reflect the paper piles on the real desktop. The user can access valuable information through the system, such as printing statistics, location of a printed document on the desk, and past projects and their documents. A two week user evaluation of the system showed interesting usage scenarios and future trends for improving user interaction.

Autocad

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Author : Lynn Allen
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-11

Autocad written by Lynn Allen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-11 with Computers categories.

Build Your Skills with Hundreds of Helpful Ideas from Two AutoCAD Superstars Two AutoCAD experts distill years of combined experience into hundreds of the most useful AutoCAD tips and techniques you'll ever find. Fun, easy to read, and packed with information, this beautiful guide equips you with inside tricks on critical AutoCAD features and functions--all in fast, easy-to-digest nuggets. Discover keyboard shortcuts and little-known system variables or punch up your style with expert tips on visualizing, publishing, and 3D modeling. No matter what your experience level, you're sure to increase productivity and master professional-level techniques with this lively, practical book. * Tweak Windows(r) and AutoCAD to get the UI you want * Handle layers and select objects like a pro * Create dimensions, hatch patterns, and text correctly the first time * Comprehend the complexities of Sheet Sets and Paperspace * Unleash the power of dynamic blocks * Get visualization tips from the experts * Plot or publish in the background while you keep drawing * Take control of AutoCAD with customization techniques * Master the friendly new world of 3D in AutoCAD 2007

Paperspace

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Author : Patrick McGee
language : en
Publisher:
Release Date : 1988

Paperspace written by Patrick McGee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Literary Criticism categories.

Autocad Platform Customization

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Author : Lee Ambrosius
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-07

Autocad Platform Customization written by Lee Ambrosius and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-07 with Computers categories.

Boost productivity and streamline your workflow with expert AutoCAD: VBA programming instruction AutoCAD Platform Customization: VBA is the definitive guide to personalizing AutoCAD and the various programs that run on the AutoCAD platform, including AutoCAD Architecture, Civil 3D, Plant 3D, and more. Written by an Autodesk insider with years of customization and programming experience, this book features detailed discussions backed by real-world examples and easy-to-follow tutorials that illustrate each step in the personalization process. Readers gain expert guidance toward managing layouts and external references, changing the menu and other interface items, creating forms, and communicating with Office applications—all designed to streamline the workspace and improve productivity. An additional resources appendix, downloadable datasets, and customization examples provide extra information and tools that allow users to implement the most advanced customizations. Autodesk's AutoCAD platform is the basis for much of the software that is integral to the modern design and engineering processes. VBA allows users to customize the AutoCAD interface and other features to increase screen real estate, create macros, validate drawing information, and more, leaving less repetition, fewer distractions, and more time for design. AutoCAD Platform Customization: VBA walks readers through the many options available, teaching them to: Create, modify, annotate, and view drawing objects Interact comfortably with the application, open documents, and the user Manage external data, communicate with other applications, and define user forms Debug custom programs and handle errors Customization allows users to keep their favorite tools at their fingertips, and put away the ones they don't need. For AutoCAD users looking to streamline their workflow, AutoCAD Platform Customization: VBA provides expert instruction and insider advice.

Paperspace

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Author : Patrick McGee
language : en
Publisher:
Release Date : 1988-01-01

Paperspace written by Patrick McGee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-01-01 with categories.

Deep Learning With R For Beginners

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Author : Mark Hodnett
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-20

Deep Learning With R For Beginners written by Mark Hodnett and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Computers categories.

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook Description Deep learning finds practical applications in several domains, while R is the preferred language for designing and deploying deep learning models. This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The book will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R. By the end of this Learning Path, you’ll be well versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects. This Learning Path includes content from the following Packt products: R Deep Learning Essentials - Second Edition by Joshua F. Wiley and Mark HodnettR Deep Learning Projects by Yuxi (Hayden) Liu and Pablo MaldonadoWhat you will learnImplement credit card fraud detection with autoencodersTrain neural networks to perform handwritten digit recognition using MXNetReconstruct images using variational autoencodersExplore the applications of autoencoder neural networks in clustering and dimensionality reductionCreate natural language processing (NLP) models using Keras and TensorFlow in RPrevent models from overfitting the data to improve generalizabilityBuild shallow neural network prediction modelsWho this book is for This Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. A fundamental understanding of R programming and familiarity with the basic concepts of deep learning are necessary to get the most out of this Learning Path.

Deep Learning With Structured Data

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Author : Mark Ryan
language : en
Publisher: Manning Publications
Release Date : 2020-12-29

Deep Learning With Structured Data written by Mark Ryan and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Computers categories.

Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps

Autocad 2004 Vba

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Author : Joe Sutphin
language : en
Publisher: Apress
Release Date : 2008-01-01

Autocad 2004 Vba written by Joe Sutphin and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-01 with Computers categories.

* Major update of Sutphin’s successful AutoCAD 2000 Programmer’s Reference. * Introduction to Visual Basic allows use by experienced AutoCAD developers who are new to programming. * Comprehensive coverage of the AutoCAD object model. * New coverage of AutoCAD 2000 features including file and security programming, customizing the IDE and accessing the Win32 API.

Autocad 2021 For Architectural Design A Power Guide For Beginners And Intermediate Users

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Author : Sandeep Dogra
language : en
Publisher: CADArtifex
Release Date : 2020-08-06

Autocad 2021 For Architectural Design A Power Guide For Beginners And Intermediate Users written by Sandeep Dogra and has been published by CADArtifex this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.

AutoCAD 2021 for Architectural Design: A Power Guide for Beginners and Intermediate Users textbook is designed for instructor-led courses as well as for self-paced learning. It is intended to help architects, designers, and CAD operators interested in learning AutoCAD for creating 2D architectural drawings. This textbook is a great help for new AutoCAD users and a great teaching aid for classroom training. This textbook consists of 12 chapters, and a total of 488 pages covering tools and commands of the Drafting & Annotation workspace of AutoCAD. The textbook teaches you to use AutoCAD software for creating, editing, plotting, and managing real world 2D architectural drawings. Table of Contents: Chapter 1. Introduction to AutoCAD Chapter 2. Creating Drawings - I Chapter 3. Working with Drawing Aids and Layers Chapter 4. Creating Drawings - II Chapter 5. Modifying and Editing Drawings - I Chapter 6. Working with Blocks and Xrefs Chapter 7. Working with Dimensions and Dimensions Style Chapter 8. Editing Dimensions and Adding Text Chapter 9. Modifying and Editing Drawings - II Chapter 10. Hatching and Gradients Chapter 11. Working with Layouts Chapter 12. Printing and Plotting

Autocad 2022 A Power Guide For Beginners And Intermediate Users

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Author : Sandeep Dogra
language : en
Publisher: CADArtifex
Release Date :

Autocad 2022 A Power Guide For Beginners And Intermediate Users written by Sandeep Dogra and has been published by CADArtifex this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

AutoCAD 2022: A Power Guide for Beginners and Intermediate Users textbook is designed for instructor-led courses as well as for self-paced learning. It is intended to help engineers, designers, and CAD operators interested in learning AutoCAD for creating 2D engineering drawings as well as 3D Models. This textbook is a great help for new AutoCAD users and a great teaching aid for classroom training. This textbook consists of 13 chapters, and a total of 546 pages covering major workspaces of AutoCAD such as Drafting & Annotation and 3D Modeling. This textbook teaches you to use AutoCAD software for creating, editing, plotting, and managing real world 2D engineering drawings and 3D Models. This textbook not only focuses on the usage of the tools/commands of AutoCAD but also on the concept of design. Every chapter of this textbook contains tutorials that provide users with step-by-step instructions on how to create mechanical designs and drawings with ease. Moreover, every chapter ends with hands-on test drives which allow users to experience themselves the user friendly and powerful capabilities of AutoCAD.