Building Generative AI Services with FastAPI

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Growing up in China while educated in Japan and the US, the author has in the past few decades both witnessed and actively participated in the historical process of legal transformations in contemporary China. Through a series of academic contributions, as well as meetings, activities and memberships with policymakers and practitioners, the author has spared no effort in applying his theoretical scholarship to real, concrete practices. He has made significant contributions to the building of a rule-of-law system in China, with great social influences. The publishing of this book is to share with English-speaking readers his insights, experiences, and practices related to the institutional undertaking of building the rule of law in China. It offers a legal perspective on some of the cutting-edge issues in our society at large (e.g. risk and uncertainty, AI network, the COVID-19 pandemic, and big data).

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system.There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that send

We need new governance solutions to help us improve public policies and services, solve complex societal problems, strengthen social communities and reinvigorate democracy. By changing how government engages with citizens and stakeholders, co-creation provides an attractive and feasible approach to governance that goes beyond the triptych of public bureaucracy, private markets and self-organized communities. Inspired by the successful use of co-creation for product and service design, this book outlines a broad vision of co-creation as a strategy of public governance. Through the construction of platforms and arenas to facilitate co-creation, this strategy can empower local communities, enhance broad-based participation, mobilize societal resources and spur public innovation while building ownership for bold solutions to pressing problems and challenges. The book details how to use co-creation to achieve goals. This exciting and innovative study combines theoretical argument with illus