Building Computer Vision Applications Using Artificial Neural Networks: With Examples In Opencv And Tensorflow With Python

Explore the fascinating world of computer vision with “Building Computer Vision Applications Using Artificial Neural Networks.” This comprehensive guide delves into the practical application of artificial neural networks (ANNs) for solving real-world computer vision problems. Discover how to leverage powerful tools like OpenCV and TensorFlow with Python to design, develop, and deploy intelligent vision systems.

This book provides a step-by-step approach, starting with the fundamentals of ANNs and gradually progressing to advanced techniques. Learn to implement image classification, object detection, image segmentation, and more. Practical examples and hands-on projects illustrate key concepts, enabling you to gain a solid understanding of the field. Master the art of building robust and efficient computer vision applications that can analyze, interpret, and understand visual data. Whether you’re a student, researcher, or developer, this book will equip you with the knowledge and skills to create innovative solutions in areas such as robotics, autonomous vehicles, medical imaging, and security.

Unlock the potential of computer vision and transform the way machines perceive the world. Dive into this book and begin your journey towards building intelligent vision systems.