Pujari Pradeep (32 results)

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condition: New.

Condition: New.

Condition: New. Practical Convolutional Neural Network Models (Paperback or Softback).

Condition: As New. Unread book in perfect condition.

Digital. Condition: New. One stop guide to implementing award-winning, and cutting-edge CNN architecturesAbout This Book. Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques. Implement CNN models on image classification, transfer learning, Object Detection, Instance Segmentation, GANs and more. Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent attention modelsWho This Book Is ForThis book is for data scientists, machine learning and deep learning practitioners, Cognitive and Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python programming language is expected.What You Will Learn. From CNN basic building blocks to advanced concepts understand practical areas they can be applied to. Build an image classifier CNN model to understand how different components interact with each other, and then learn how to optimize it. Learn different algorithms that can be applied to Object Detection, and Instance Segmentation . Learn advanced concepts like attention mechanisms for CNN to improve prediction accuracy. Understand transfer learning and implement award-winning CNN architectures like AlexNet, VGG, GoogLeNet, ResNet and more. Understand the working of generative adversarial networks and how it can create new, unseen imagesIn DetailConvolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available.Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets.Style and approachAn easy to follow concise and illustrative guide explaining the core concepts of ConvNets to help you understand, implement and deploy your CNN models quickly. …

Condition: New. pp. 218.

Condition: New. In English.

Paperback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Digital. Condition: New. One stop guide to implementing award-winning, and cutting-edge CNN architecturesAbout This Book. Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques. Implement CNN models on image classification, transfer learning, Object Detection, Instance Segmentation, GANs and more. Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent attention modelsWho This Book Is ForThis book is for data scientists, machine learning and deep learning practitioners, Cognitive and Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python programming language is expected.What You Will Learn. From CNN basic building blocks to advanced concepts understand practical areas they can be applied to. Build an image classifier CNN model to understand how different components interact with each other, and then learn how to optimize it. Learn different algorithms that can be applied to Object Detection, and Instance Segmentation . Learn advanced concepts like attention mechanisms for CNN to improve prediction accuracy. Understand transfer learning and implement award-winning CNN architectures like AlexNet, VGG, GoogLeNet, ResNet and more. Understand the working of generative adversarial networks and how it can create new, unseen imagesIn DetailConvolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available.Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets.Style and approachAn easy to follow concise and illustrative guide explaining the core concepts of ConvNets to help you understand, implement and deploy your CNN models quickly. …

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book summarizes contemporary research on land degradation, desertification, and how such issues relate to socioeconomic growth in developing countries. With a focus on local and regional levels, the book offers an in-depth analysis of aeolian action as a physical process, causes of land degradation, and desertification. The causes and effects of land degradation were investigated by utilizing multiscale and multidisciplinary methodologies, merging spatial socioeconomic data with remote sensing data, and using multiple levels and disciplinary approaches. The book also describes how to combine GIS with cutting-edge technologies such as remote sensing, geostatistics, scanning electron microscopy (SEM) and energy-dispersive X-ray (EDAX) analysis, and analytical hierarchy approaches, among others. Included is a thorough case study of the unusual but understudied semi-arid Anantapur district in Andhra Pradesh, South India. This book encourages the participation of all socioeconomic groups in decision-making and assists authorities and planners in developing suitable plans for the sustainable agricultural growth of an area. The book is an invaluable resource to comprehend and resolve issues about sustainable environmental planning and management.…

Condition: New.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book summarizes contemporary research on land degradation, desertification, and how such issues relate to socioeconomic growth in developing countries. With a focus on local and regional levels, the book offers an in-depth analysis of aeolian action as a physical process, causes of land degradation, and desertification. The causes and effects of land degradation were investigated by utilizing multiscale and multidisciplinary methodologies, merging spatial socioeconomic data with remote sensing data, and using multiple levels and disciplinary approaches. The book also describes how to combine GIS with cutting-edge technologies such as remote sensing, geostatistics, scanning electron microscopy (SEM) and energy-dispersive X-ray (EDAX) analysis, and analytical hierarchy approaches, among others. Included is a thorough case study of the unusual but understudied semi-arid Anantapur district in Andhra Pradesh, South India. This book encourages the participation of all socioeconomic groups in decision-making and assists authorities and planners in developing suitable plans for the sustainable agricultural growth of an area. The book is an invaluable resource to comprehend and resolve issues about sustainable environmental planning and management.…

Condition: New.

Softcover. Condition: gut. 2018. Practical Convolutional Neural Networks: Implement advanced deep learning models In englischer Sprache. pages.

Condition: New.

Hardcover. Condition: gut. 2023. Aeolian Desertification In deutscher Sprache. pages.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Softcover. Condition: gut. 2024. Aeolian Desertification: Disaster with Visual Impact in Semi-arid Regions of Andhra Pradesh, South India (Advances in Geographical and Environmental Sciences) In deutscher Sprache. pages.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand pp. 218.

Condition: New. PRINT ON DEMAND pp. 218.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video datasets. By .…

Taschenbuch. Condition: Neu. Practical Convolutional Neural Network Models | Pradeep Pujari (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781788392303 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book summarizes contemporary research on land degradation, desertification, and how such issues relate to socioeconomic growth in developing countries. With a focus on local and regional levels, the book offers an in-depth analysis of aeolian action.…