3d Deep Learning With Python
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3d Deep Learning With Python
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Author : Xudong Ma
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-31
3d Deep Learning With Python written by Xudong Ma 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 2022-10-31 with Computers categories.
Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with ease Key FeaturesUnderstand 3D data processing with rendering, PyTorch optimization, and heterogeneous batchingImplement differentiable rendering concepts with practical examplesDiscover how you can ease your work with the latest 3D deep learning techniques using PyTorch3DBook Description With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time. Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D deep learning. You'll see how to use PyTorch3D for basic 3D mesh and point cloud data processing, including loading and saving ply and obj files, projecting 3D points into camera coordination using perspective camera models or orthographic camera models, rendering point clouds and meshes to images, and much more. As you implement some of the latest 3D deep learning algorithms, such as differential rendering, Nerf, synsin, and mesh RCNN, you'll realize how coding for these deep learning models becomes easier using the PyTorch3D library. By the end of this deep learning book, you'll be ready to implement your own 3D deep learning models confidently. What you will learnDevelop 3D computer vision models for interacting with the environmentGet to grips with 3D data handling with point clouds, meshes, ply, and obj file formatWork with 3D geometry, camera models, and coordination and convert between themUnderstand concepts of rendering, shading, and more with easeImplement differential rendering for many 3D deep learning modelsAdvanced state-of-the-art 3D deep learning models like Nerf, synsin, mesh RCNNWho this book is for This book is for beginner to intermediate-level machine learning practitioners, data scientists, ML engineers, and DL engineers who are looking to become well-versed with computer vision techniques using 3D data.
3d Data Science With Python
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Author : Florent Poux
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-04-09
3d Data Science With Python written by Florent Poux and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more. Dr. Florent Poux helps you leverage the potential of cutting-edge algorithms and spatial AI models to develop production-ready systems with a focus on automation. You'll get the 3D data science knowledge and code to: Understand core concepts and representations of 3D data Load, manipulate, analyze, and visualize 3D data using powerful Python libraries Apply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) Use 3D reconstruction techniques to generate 3D datasets Implement automated 3D modeling and generative AI workflows Explore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving Build accurate digital environments that spatial AI solutions can leverage Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120 companies.
3d Data Science With Python
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Author : Florent Poux
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-04-09
3d Data Science With Python written by Florent Poux and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-09 with Computers categories.
Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more. Dr. Florent Poux helps you leverage the potential of cutting-edge algorithms and spatial AI models to develop production-ready systems with a focus on automation. You'll get the 3D data science knowledge and code to: Understand core concepts and representations of 3D data Load, manipulate, analyze, and visualize 3D data using powerful Python libraries Apply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) Use 3D reconstruction techniques to generate 3D datasets Implement automated 3D modeling and generative AI workflows Explore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving Build accurate digital environments that spatial AI solutions can leverage Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120 companies.
3d Imaging Technologies Multi Dimensional Signal Processing And Deep Learning
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Author : Lakhmi C. Jain
language : en
Publisher: Springer Nature
Release Date : 2021-10-01
3d Imaging Technologies Multi Dimensional Signal Processing And Deep Learning written by Lakhmi C. Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Technology & Engineering categories.
This book presents high-quality research in the field of 3D imaging technology. The second edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first 3DIT conference (IC3DIT2019) to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.
Thin Films Atomic Layer Deposition And 3d Printing
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Author : Kingsley Ukoba
language : en
Publisher: CRC Press
Release Date : 2023-11-29
Thin Films Atomic Layer Deposition And 3d Printing written by Kingsley Ukoba and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Technology & Engineering categories.
Thin Films, Atomic Layer Deposition, and 3D Printing explains the concept of thin films, atomic layers deposition, and the Fourth Industrial Revolution (4IR) with an aim to illustrate existing resources and give a broader perspective of the involved processes as well as provide a selection of different types of 3D printing, materials used for 3D printing, emerging trends and applications, and current top-performing 3D printers using different technologies. It covers the concept of the 4IR and its role in current and future human endeavors for both experts/nonexperts. The book includes figures, diagrams, and their applications in real-life situations. Features: Provides comprehensive material on conventional and emerging thin film, atomic layer, and additive technologies. Discusses the concept of Industry 4.0 in thin films technology. Details the preparation and properties of hybrid and scalable (ultra) thin materials for advanced applications. Explores detailed bibliometric analyses on pertinent applications. Interconnects atomic layer deposition and additive manufacturing. This book is aimed at researchers and graduate students in mechanical, materials, and metallurgical engineering.
Deep Learning
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024
Deep Learning written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural Networks Are you ready to embark on an exhilarating journey into the world of artificial intelligence, deep learning, and computer vision? Look no further! Our carefully curated book bundle, "DEEP LEARNING: COMPUTER VISION, PYTHON MACHINE LEARNING AND NEURAL NETWORKS," offers you a comprehensive roadmap to AI mastery. BOOK 1 - DEEP LEARNING DEMYSTIFIED: A BEGINNER'S GUIDE 🚀 Perfect for beginners, this book dismantles the complexities of deep learning. From neural networks to Python programming, you'll build a strong foundation in AI. BOOK 2 - MASTERING COMPUTER VISION WITH DEEP LEARNING 🌟 Dive into the captivating world of computer vision. Unlock the secrets of image processing, convolutional neural networks (CNNs), and object recognition. Harness the power of visual intelligence! BOOK 3 - PYTHON MACHINE LEARNING AND NEURAL NETWORKS: FROM NOVICE TO PRO 📊 Elevate your skills with this intermediate volume. Delve into data preprocessing, supervised and unsupervised learning, and become proficient in training neural networks. BOOK 4 - ADVANCED DEEP LEARNING: CUTTING-EDGE TECHNIQUES AND APPLICATIONS 🔥 Ready to conquer advanced techniques? Learn optimization strategies, tackle common deep learning challenges, and explore real-world applications shaping the future. 🎉 What You'll Gain: · A strong foundation in deep learning · Proficiency in computer vision · Mastery of Python machine learning · Advanced deep learning skills · Real-world application knowledge · Cutting-edge AI insights 📚 Why Choose Our Book Bundle? · Expertly curated content · Beginner to expert progression · Clear explanations and hands-on examples · Comprehensive coverage of AI topics · Practical real-world applications · Stay ahead with emerging AI trends 🌐 Who Should Grab This Bundle? · Beginners eager to start their AI journey · Intermediate learners looking to expand their skill set · Experts seeking advanced deep learning insights · Anyone curious about AI's limitless possibilities 📦 Limited-Time Offer: Get all four books in one bundle and save! Don't miss this chance to accelerate your AI knowledge and skills. 🔒 Secure Your AI Mastery: Click "Add to Cart" now and embark on an educational adventure that will redefine your understanding of artificial intelligence. Your journey to AI excellence begins here!
Volume Electron Microscopy
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Author :
language : en
Publisher: Elsevier
Release Date : 2023-07-13
Volume Electron Microscopy written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-13 with Science categories.
Volume Electron Microscopy (vEM), Volume 177 is a collective term for a set of three-dimensional high-resolution ultrastructural imaging techniques that have delivered new insights into biological systems in recent years, garnering substantial interest in the life and clinical sciences. In this book, users will find a variety of vEM workflows and technologies, highlighting application areas with biologically relevant examples. Topics covered include Automated large volume sample preparation for vEM, Resin comparison for Serial Block Face Scanning Volume Electron Microscopy, Immunolabelling for SBF-SEM, Electron Microscopy in Plants, Serial section electron tomography, Automated Tape Collecting Ultramicrotomy (ATUM) for targeting neuropathology, Array tomography, and much more. Other sections focus on Mitochondria morphometry in 3d datasets of mouse brain obtained with serial block-face Scanning Electron Microscopy, Serial Block-face Scanning Electron Microscopy of Schmidtea mediterranea, Correlative multiscale microCT-SBF-SEM imaging of resin-embedded tissue, Methods of enhanced FIB-SEM sample preparation and image acquisition, Functional characterization of endo-lysosomal compartments by correlative live-cell and volume electron microscopy, and much more. - Includes chapters written by key leaders and developers in the field - Provides detailed protocols, allowing for the application of workflows in one's own laboratory setting - Presents real tips and tricks you won't get from standard research papers
Industry 4 0
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Author : Ravi Kant
language : en
Publisher: CRC Press
Release Date : 2023-11-10
Industry 4 0 written by Ravi Kant and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-10 with Technology & Engineering categories.
This book presents a comprehensive discussion of the recent advances in Industry 4.0, manufacturing processes, and intelligent techniques. It will serve as an ideal reference text for graduate students and academic researchers in the fields of manufacturing engineering, industrial engineering, mechanical engineering, and production engineering. This text introduces Industry 4.0, its evolution, and essential pillars of Industry 4.0 including calibration, metrology, quality control, robotics, artificial intelligence, and the Internet of Things. It comprehensively covers important topics including the cold spray technique for additive manufacturing, tool condition monitoring, robotic manipulators, metrology, quality control, and the Internet of Things in Industry 4.0. The book: Discusses additive manufacturing and applications of lasers in advanced manufacturing Covers sensors, actuators, and calibration techniques for next-generation industries Emphasizes the recycling of materials for sustainable manufacturing Explores latest advances in the Internet of Things, robotics, artificial intelligence, and machine learning in view of Industry 4.0 Provides a conceptual framework of Industry 4.0 with the help of applications and case studies The text is primarily written for graduate students and academic researchers in the fields of manufacturing engineering, industrial engineering, mechanical engineering, and production engineering.
Applications Of Ai In Smart Technologies And Manufacturing
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Author : S.P. Jani
language : en
Publisher: CRC Press
Release Date : 2025-10-14
Applications Of Ai In Smart Technologies And Manufacturing written by S.P. Jani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-14 with Computers categories.
Applications of AI in Smart Technologies and Manufacturing presents a rich repository of groundbreaking research in emerging engineering domains. With contributions from eminent educators, industrialists, scientists and researchers, this book highlights the transformative role of AI and smart technologies in enhancing community welfare and shaping the future of manufacturing and engineering practices. This title comprises a selection of papers that reflect a global exchange of ideas in digital manufacturing, advanced machining processes, bioengineering, tribology, smart materials, IoT applications, energy storage, smart cities, robotics, and AI applications in healthcare. With special emphasis on optimization algorithms, virtual and augmented reality in automation, and smart energy technologies, this volume delves into ways in which rapid technological advancements are breaking traditional barriers in education, research, and industrial applications. This is a resourceful guide for researchers, academicians, engineers, industrial practitioners, and graduate students in the domains of mechanical engineering, smart technologies, artificial intelligence, and automation. It is also highly relevant to decision-makers and R&D professionals focused on applying AI and smart solutions to achieve sustainable innovation in engineering and technology.
Machine Learning And Deep Learning Using Python And Tensorflow
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Author : Venkata Reddy Konasani
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-04-29
Machine Learning And Deep Learning Using Python And Tensorflow written by Venkata Reddy Konasani and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Technology & Engineering categories.
Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts Python programming and statistics fundamentals Regression and logistic regression Decision trees Model selection and cross-validation Cluster analysis Random forests and boosting Artificial neural networks TensorFlow and Keras Deep learning hyperparameters Convolutional neural networks Recurrent neural networks and long short-term memory