Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images: Lakshmanan, Valliappa, Görner, Martin, Gillard, Ryan

This book provides a comprehensive guide to employing machine learning models for image extraction, covering various tasks such as classification, object detection, autoencoders, image generation, counting, and captioning.

With practical examples and real-world applications, readers will learn how to develop accurate and explainable computer vision ML models using TensorFlow or Keras.

The book offers a step-by-step approach to designing, training, evaluating, and deploying models, as well as incorporating best practices for explainability and responsible AI.

Whether you're a beginner or an experienced practitioner, this book will provide you with the knowledge and skills necessary to succeed in the field of computer vision ML.