Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

This book provides a practical guide to employing machine learning models to extract information from images, covering tasks such as classification, object detection, autoencoders, image generation, counting, and captioning. It offers a comprehensive introduction to end-to-end deep learning, covering dataset creation, data preprocessing, model design, training, evaluation, deployment, and interpretability. Written by Google engineers, it demonstrates how to develop accurate and explainable computer vision ML models using TensorFlow or Keras and deploy them in large-scale production.

Format: Paperback / softback
Length: 350 pages
Publication date: 31 August 2021
Publisher: O'Reilly Media, Inc, USA

This comprehensive guide offers practical insights into leveraging machine learning models to extract valuable information from images. Whether you are an ML engineer or data scientist, this book empowers you to tackle a diverse range of image-related challenges, including classification, object detection, autoencoders, image generation, counting, and captioning. By employing proven ML techniques, you will gain the ability to develop accurate and explainable computer vision ML models and seamlessly integrate them into large-scale production environments.

Led by Google engineers Valliappa Lakshmanan, Martin Goerner, and Ryan Gillard, this book provides a deep dive into end-to-end deep learning, covering crucial aspects such as dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. You will learn how to design robust ML architectures that can handle the complexities of computer vision tasks, select appropriate models tailored to your specific needs, create comprehensive end-to-end ML pipelines, preprocess images for data augmentation and better model performance, incorporate explainability and responsible AI best practices, and deploy image models as web services or on edge devices.

Furthermore, you will gain valuable skills in monitoring and managing ML models, ensuring their continuous improvement and adaptability to evolving requirements. With this comprehensive guide, you will be well-equipped to unlock the full potential of image data and transform it into valuable insights using machine learning.

Weight: 848g
Dimension: 177 x 234 x 30 (mm)
ISBN-13: 9781098102364