One stop guide to implementing award-winning, and cutting-edge CNN architectures Key Features 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 models Book Description Convolutional 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. 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 images Who this book is for This 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.
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.
Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative e-commerce, 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 course starts with an overview of deep neural networks using image classification as an example and walks you through building your first CNN: a human face detector. You will learn to use concepts such as transfer learning with CNN and auto-encoders to build very powerful models, even when little-supervised training data for labeled images is available. Later we build upon this to build advanced vision-related algorithms for object detection, instance segmentation, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this course, you should be ready to implement advanced, effective, and efficient CNN models professionally or personally, by working on a complex image and video datasets."--Resource description page.
One stop guide to implementing award-winning, and cutting-edge CNN architectures Key Features 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 models Book Description Convolutional 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. 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 images Who this book is for This 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.
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.
Igniting 37 Crore Growth Engines by Chauhan, Pradeep S.; Chouhan, Shivalli M.: In this book, authors Pradeep S. Chauhan and Shivalli M. Chouhan present a comprehensive guide to fostering economic growth and development in India. The book emphasizes the potential of India's population as "37 Crore Growth Engines" and outlines strategies for harnessing this demographic dividend. Key Aspects of the Book "Igniting 37 Crore Growth Engines": Economic Development Strategies: The book offers practical strategies and recommendations for promoting economic growth and development in India. Demographic Dividend: "Igniting 37 Crore Growth Engines" explores the concept of the demographic dividend and its implications for India's future. Nation-Building: The book aligns with the vision of building a stronger and more prosperous India by tapping into its vast human resources. Pradeep S. Chauhan and Shivalli M. Chouhan are the authors of "Igniting 37 Crore Growth Engines," a book that advocates for leveraging India's demographic dividend to drive economic progress. Their work aligns with the goal of building a prosperous and inclusive nation.
Not very often people challenge the definition of testing and even if they do, it ends up being theory. Here is an experience report, documented with evidence on what it takes to use testing to drive growth for customers. An outcome of a thousand people of Moolya and hundreds of customers coming together and providing the most compelling evidence to reinvent testing. A powerful (and honest) book for Product Owners, Tech Leaders, Testers, Automation Engineers to build a culture of growth driven testing and leadership that enables this culture to succeed.
Embark on a journey of inspiration and empowerment with "Real Inspiring Stories" by the esteemed Maj. (Retd.) Pradeep Khare. Delve into a collection of compelling narratives that showcase the resilience, courage, and triumph of the human spirit, offering invaluable lessons and motivation for readers of all backgrounds. Join Maj. (Retd.) Pradeep Khare as he shares a diverse range of real-life stories that captivate and uplift the soul. From tales of overcoming adversity to accounts of extraordinary achievement, each narrative offers a glimpse into the power of determination, perseverance, and hope. As you immerse yourself in the pages of "Real Inspiring Stories," you'll encounter individuals from all walks of life who have faced seemingly insurmountable challenges with grace and courage. Through their experiences, Maj. (Retd.) Pradeep Khare highlights the transformative power of resilience and the indomitable human spirit. With its blend of heartwarming anecdotes and profound insights, "Real Inspiring Stories" inspires readers to embrace their inner strength, pursue their dreams, and overcome obstacles with unwavering determination. Maj. (Retd.) Pradeep Khare's compassionate storytelling and keen observations offer a beacon of hope and encouragement in times of adversity. Since its publication, "Real Inspiring Stories" has touched the hearts of readers around the world with its powerful messages of courage, perseverance, and hope. Maj. (Retd.) Pradeep Khare's ability to capture the essence of the human experience and celebrate the triumph of the human spirit has earned him widespread acclaim and admiration. In conclusion, "Real Inspiring Stories" is more than just a book—it's a testament to the resilience and strength of the human spirit. Whether you're facing personal challenges or seeking motivation to pursue your goals, Maj. (Retd.) Pradeep Khare's collection of real-life stories offers a source of inspiration and empowerment that will resonate with readers for years to come. Don't miss your chance to be inspired by the extraordinary journeys recounted in "Real Inspiring Stories." Let Maj. (Retd.) Pradeep Khare's heartfelt narratives uplift your spirits and ignite your passion for life. Grab your copy now and discover the transformative power of courage, resilience, and hope.
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