A Generative Journey To Ai
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A Generative Journey to AI
DESCRIPTION Explore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of deep learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc. This book introduces deep learning, machine learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly. This book provides the tools and knowledge needed to leverage generative AI in real-world applications. By the time you complete it, you will have a solid foundation and the confidence to explore the frontiers of AI. KEY FEATURES ● Comprehensive guide to mastering generative AI and deep learning basics. ● Covers text, audio, and video generation with practical examples. ● Insights into emerging trends and potential advancements in the field. WHAT YOU WILL LEARN ● Understand the fundamentals of deep learning and neural networks. ● Master generative models like GANs, VAEs, and Transformers. ● Implement AI techniques for text, audio, and video creation. ● Apply generative AI in real-world scenarios and applications. ● Navigate ethical challenges and explore the future of AI. WHO THIS BOOK IS FOR This book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and machine learning. TABLE OF CONTENTS 1. Introduction to Deep Learning 2. Neural Networks and Deep Learning Architectures 3. Unveiling Generative Models 4. Generative Adversarial Networks 5. Variational Autoencoders 6. Diffusion Models 7. Transformers and Large Language Models 8. Exploring Generative Models 9. Video and Music Generation 10. Artistic Side of Generative AI 11. Ethics, Challenges, and Future
The Reflective Educator′s Guide to Practitioner Inquiry
Transform your teaching and shape education through the power of inquiry. Grounded in real-world examples and more than 30 years of research in professional development, the fifth edition of The Reflective Educator′s Guide to Practitioner Inquiry addresses how inquiry fosters curiosity, reflection, and practical action to enhance effective classroom learning. This latest edition invites educators to view inquiry as a process, a product, and a stance. The book offers new sections on the relationship between AI and teacher inquiry and the ways in which inquiry is changing with the times. Additional features and updates include: A new chapter that provides a step-by-step guide to crafting an intentional, actionable research plan Access exercises, inductive and deductive data analysis worksheets, ethical guidelines, and examples addressing today’s issues in education A discussion of the connections between practitioner inquiry and supporting the academic success of every student The Reflective Educator’s Guide to Practitioner Inquiry, fifth edition, empowers educators at every stage in their careers to investigate their practice, drive sustained professional growth, and harness inquiry’s potential to create classrooms where both students and teachers thrive.
Artificial Intelligence in Action
This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force. As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks. This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution.