Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Deep Learning for Vision Systems
How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems te...
Business Analysis for Beginners
Business Analysis for Beginners is a comprehensive hands-on guide to jump-starting your BA career in four weeks. The book empowers you to gain a complete understanding of business analysis fundamental concepts and unlock the value of a business analyst to an organization in identifying problems and opportunities and finding solutions. Learn how to define the business needs and apply the most effective tools and techniques to elicit, analyze and communicate requirements with business stakeholders. Business analysis in a nutshell - gain a comprehensive understanding of business analysis fundamental concepts and understand the value of a business analyst to an organization in identifying proble...
3D Business Analyst
Learn how to master requirements elicitation, analysis and documentation. Build-up your project management and lean six sigma skill sets. Interview questions and cheat sheets.Thorough explanation of SDLC and UML methodologiesReal-time project situations and examples. Step-by-step guide on facilitating sessions. Hands-on guide to the business analysis tasks. On-the-job support. Introduction to SQL. Real-time templates that you can use in your projects now. Your shortcut to a Business Analyst job
Deep Learning with JAX
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized compu...
Pixels & Paintings
PIXELS & PAINTINGS “The discussion is firmly grounded in established art historical practices, such as close visual analysis and an understanding of artists’ working methods, and real-world examples demonstrate how computer-assisted techniques can complement traditional approaches.” —Dr. Emilie Gordenker, Director of the Van Gogh Museum The pioneering presentation of computer-based image analysis of fine art, forging a dialog between art scholars and the computer vision community In recent years, sophisticated computer vision, graphics, and artificial intelligence algorithms have proven to be increasingly powerful tools in the study of fine art. These methods—some adapted from fore...
Autophagy: Biology and Diseases
This book consists of 3 volumes: Basic Science (Volume 1), Clinical Science (Volume 2) and Technology and Methodology (Volume 3). Volume 2 focuses on the clinical aspects of autophagy research, discussing the role of autophagy in neuropsychiatric disorders, the cardiovascular, immune, digestive and endocrine systems, as well as tumors, infection, the kidney, and the respiratory and hematological systems. It also addresses autophagy-related drug development. Written and edited by a team of 90 experts, and presenting the state of the art in autophagy research, this book is a valuable reference resource for researchers and clinicians alike. It can also be used as supplementary material for graduate students majoring in biology and medicine
Deep Learning with Structured Data
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 ...
Incidental Findings in Neuroimaging and Their Management
A multidisciplinary guide to managing incidental findings in neuroimaging from top experts Incidental Findings in Neuroimaging and Their Management: A Guide for Radiologists, Neurosurgeons, and Neurologists presents a streamlined, case-based approach to 50 commonly seen incidental findings in neuroimaging. Edited by Kaye Westmark, Dong Kim, and Roy Riascos, this unique book provides the necessary knowledge to manage significant unexpected findings—from identification and analysis to efficacious interventions. With collaborative contributions from neuroradiologists, neurosurgeons, neurologists, otolaryngologists, body and musculoskeletal imaging experts, endocrinologists and hematologists/o...
Deep Learning Patterns and Practices
Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Assembling large-scale model deployments Optimizing hyperparameter tuning Migrating a model to a production environment The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from auth...
Programming Computer Vision with Python
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming a...
