object detection convolutional neural networks von continental academy press (5 Ergebnisse)

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Object Detection with Convolutional Neural Networks and Deep Learning Techniques presents a comprehensive exploration of the application of convolutional neural networks and deep learning techniques in object detection. By examining the latest techniques and algorithms in object detection, this book provides a thorough understanding of how to develop efficient and effective object detection systems. From the fundamentals of convolutional neural networks to the implementation of deep learning-based object detection pipelines, Object Detection with Convolutional Neural Networks and Deep Learning Techniques offers a valuable resource for anyone seeking to develop object detection systems for a wide range of applications. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In 'Object Detection with Convolutional Neural Networks Techniques', you'll learn the fundamentals of object detection using convolutional neural networks (CNNs), and how to apply these techniques to a wide range of applications. This book covers the key concepts and algorithms used in object detection, including region proposal networks (RPNs) and faster R-CNN. You'll also learn how to use popular deep learning libraries like TensorFlow and PyTorch to implement these techniques in practice. With its focus on practical implementation and real-world examples, this book is ideal for anyone looking to develop object detection applications, from surveillance and robotics to medical imaging and autonomous vehicles. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Object Detection with Convolutional Neural Networks is a comprehensive guide to the application of deep learning techniques in computer vision. The book focuses on the development of object detection algorithms using convolutional neural networks, providing a thorough understanding of the underlying principles and architectures. Through a series of practical examples and case studies, the author demonstrates the effectiveness of these algorithms in real-world applications, including image classification, object recognition, and scene understanding. By exploring the strengths and limitations of convolutional neural networks, readers can gain a deeper understanding of the potential and challenges of object detection in computer vision. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Convolutional Neural Networks for Object Detection is a cutting-edge guide to the application of convolutional neural networks (CNNs) in object detection tasks. By examining the principles of CNN architecture, training, and optimization, this book provides a comprehensive understanding of the complex relationships between neural networks, image data, and object detection accuracy. With a focus on real-world examples and practical case studies, Convolutional Neural Networks for Object Detection is an essential resource for anyone working with image data and looking to improve their object detection skills. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Object Detection with Convolutional Neural Networks and Deep Learning is a cutting-edge resource for researchers and practitioners seeking to master the art of object detection using state-of-the-art deep learning techniques. This book provides a thorough introduction to the fundamental concepts and architectures of convolutional neural networks, including their application to object detection tasks. Through a series of in-depth case studies and experiments, the author demonstrates the efficacy of deep learning methods for object detection in various domains, including computer vision and robotics. By exploring the latest advancements in this field, readers can develop the skills and knowledge necessary to tackle complex object detection challenges. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.