Mastering Computer Vision with TensorFlow 2.x

Dive into the fascinating world of computer vision with "Mastering Computer Vision with TensorFlow 2.x"-a comprehensive guide to applying deep learning techniques for image processing and analysis. Written for aspiring and experienced professionals, this book demystifies neural network architectures and equips you with the tools to build and optimize your own computer vision applications.

What this Book will help me do

• Develop a foundational understanding of advanced computer vision concepts and how to apply them effectively.
• Master practical skills for building and optimizing neural network models using TensorFlow 2.x.
• Explore state-of-the-art architectures like VGG, ResNet, Inception, and YOLO for various vision tasks.
• Gain hands-on experience implementing real-world applications such as image inpainting and semantic segmentation.
• Learn how to deploy and fine-tune vision systems on cloud platforms and edge devices for scalable solutions.

Author(s)

None Kar is an experienced machine learning and computer vision professional with a strong background in designing and deploying artificial intelligence solutions. With years of experience in industrial and research applications of computer vision, None has a knack for explaining complex topics clearly and practically. Their approach in this book reflects their passion for empowering learners through actionable knowledge and hands-on examples.

Who is it for?

If you're a computer vision professional, image processing enthusiast, or machine learning engineer familiar with Python and basics of TensorFlow, this book is tailored for you. It bridges the gap between foundational knowledge and expert-level applications. By focusing on advanced techniques and practical implementations, it helps learners aspiring to excel and innovate in the field of computer vision.