Lakshmanan, Valliappa
Practical Machine Learning - for Computer Vision: - End - to - End Machine Learning - for Images
- ISBN 13:
- 9781098102364
- author:
- Lakshmanan, Valliappa
- format:
- Paperback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2021
- Pages:
- 480
- Dimensions:
- 23 x 17.6 x 2.8 centimetres (0.8
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
This practical guide shows you how to use machine learning models to extract information from images. You'll learn how to solve various image problems, including classification, object detection, and image generation, using proven ML techniques.
Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard provide a comprehensive introduction to end-to-end deep learning, covering dataset creation, data preprocessing, model design, training, evaluation, deployment, and interpretability. You'll learn how to develop accurate and explainable computer vision ML models using TensorFlow or Keras.
By the end of this book, you'll be able to design an ML architecture for your chosen task, create a model pipeline, preprocess images, incorporate explainability and responsible AI best practices, and deploy image models as web services or on edge devices. You'll also learn how to monitor and manage your ML models.
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