Practical machine learning for machine vision end to end machine learning for images

 

"Practical Machine Learning for Machine Vision: End-to-End Machine Learning for Images" is a book by Valliappa Lakshmanan, Martin Görner, and Ryan Gillard that provides a comprehensive guide to using machine learning for image-related tasks.

The book covers a wide range of topics, including:

• Dataset creation and data preprocessing
• Model design, training, and evaluation
• Deployment and interpretability
• Image classification, object detection, autoencoders, image generation, counting, and captioning

The book is written for ML engineers and data scientists who want to learn how to use machine learning to solve real-world image problems. It provides practical code examples and covers the latest techniques in the field.

Overall, "Practical Machine Learning for Machine Vision" is an excellent resource for anyone who wants to learn how to use machine learning for images. The book is well-written, comprehensive, and provides a lot of practical advice.