Computer Science

Rajalingappaa Shanmugamani

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning.

In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as Tensorflow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.

Computer Science

Jan Erik Solem

If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.

Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.

Life / Philosophy

Angela F. Amar, L. Kathleen Sekula

Victims of violence are unfortunately ever-present in healthcare today. Regardless of the setting, nurses are often the first to interact with victims and regularly must step into uncomfortable or difficult situations. To ensure patient and provider safety and enable the best possible outcomes, every nurse should be well-versed in forensic and theoretical issues of violence. A Practical Guide to Forensic Nursing is an evidence-based guide to understanding and applying forensic nursing science. Authors Angela F. Amar and L. Kathleen Sekula introduce practical and theoretical perspectives on violence and provide valuable resources, including injury assessment and violence prevention strategies as well as an overview of relevant legal, ethical, societal, and policy issues. Whether you are a student, new nurse, or experienced clinician, you will find the right tools and strategies to broaden your understanding of violence and help you integrate forensic science into your patient care.