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Learn TensorFlow 2.0
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters. You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways. What You'll LearnReview the new features of TensorFlow 2.0Use TensorFlow 2.0 to build machine learning and deep learning models Perform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examples Who This Book Is For Data scientists, machine and deep learning engineers.
Ethik der Kindheit
Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you’ll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper u...
Hands-on TinyML
Learn how to deploy complex machine learning models on single board computers, mobile phones, and microcontrollers KEY FEATURES ● Gain a comprehensive understanding of TinyML's core concepts. ● Learn how to design your own TinyML applications from the ground up. ● Explore cutting-edge models, hardware, and software platforms for developing TinyML. DESCRIPTION TinyML is an innovative technology that empowers small and resource-constrained edge devices with the capabilities of machine learning. If you're interested in deploying machine learning models directly on microcontrollers, single board computers, or mobile phones without relying on continuous cloud connectivity, this book is an i...
Programming with TensorFlow
This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).
Introduction to Prescriptive AI
Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples. The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and frameworks. You'll then be introduced to different decision intelligence methodologies and how to implement them, along with advantages and limitations of each. Digging deeper, the authors then walk you through how to perform simulations and interpre...
CO2 Separation, Purification and Conversion to Chemicals and Fuels
This book presents the recent research on the separation, purification and downstream utilization of CO2 and other flue gases. Chapters include a detailed discussion on the purification and further conversion of CO2 to commodity chemicals and fuels. With contributions from renowned researchers in the field, the book focuses on the current challenges of catalytic high-pressure chemical conversion and biochemical conversion into high-value products. This book is of interest to researchers, professionals, and students working on carbon capture and sequestration, and is a valuable resource for policy makers and government agents working on guidelines and frameworks for carbon capture and reuse.
Treasure of Spices
India is often referred as “Home of spices”. This is because many of the 70 spices grown in the world, are native to India. Further, since antiquity, India pioneered in growing spices and exported. India has enjoyed virtual monopoly in the International Spice trade since ancient times. Out of the 70 spices, several of them can be grown in India, whereas in other countries a few spices are only grown. This book focuses on practices for growing spices and obtaining a reasonably steady yield. It provides practical information on small-scale cultivation, genetics, breeding, harvesting, storing, processing and marketing of spices. We hope this information will be helpful to vegetable growers, whether beginners or more experienced farmers, extension workers and agricultural teachers.
Greenhouse Gas Emissions
This book covers the exchange of greenhouse gases in various ecosystems, biomes and climatic zones, and discusses the measurement, modelling and processes involved in these exchange dynamics. It reflects the growing body of knowledge on the characterization, feedback processes and interaction of greenhouse gases with ecosystems and the impact of human activities. Offering a compilation of selected case studies prepared by international researchers working in the field, it represents a valuable resource for researchers and students alike.
Engineering Applications in Livestock Production
Engineering Applications in Livestock Production covers the recent advancements and technological developments in the field of livestock production engineering in great detail. The major advances covered in this book include the use of artificial intelligence, image processing, Internet of Things, novel animal product processing technologies, farm automation systems, sensor technology, bioengineering practices and even engineered housing systems among others. The book includes applications of emerging sensor based and intelligent techniques/systems in the field of livestock production and management The book will have separate chapters dedicated to innovative approaches in the livestock sector such as artificial intelligence, micro and nano sensors, IoT, image processing and farm automation Specialists contribution of chapters provide comprehensive details while assisting the understanding of the concepts
Advances in Carbon Capture and Utilization
This book focuses on the recent trends in carbon management and up-to-date information on different carbon management strategies that lead to manage increasing concentration of atmospheric carbon dioxide. The growing evidence of climate change resulting from the continued increase of atmospheric carbon dioxide concentration has made it a high profile political–social and trade issue. The mean global average earth temperature rose by 0.6± 2°C during the second half of the century with the rate of 0.17°C/decade. As per GISS data in the year of 2017, it rose 0.9°C (1.62 °F) above the 1951-1980 mean global temperature. Recently World Meteorological Organization analyzes the past record te...
