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Practical machine learning for computer vision : end-to-end machine learning for images.
- Publication Year :
- 2021
-
Abstract
- Summary: This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data pre-processing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.
- Subjects :
- Computer vision
Machine learning
End to end machine learning
Subjects
Details
- Language :
- English
- ISBN :
- 9789391043834 (pbk.)
- ISBNs :
- 9789391043834
- Database :
- Jio Institute Digital Library Catalog
- Journal :
- Practical machine learning for computer vision : end-to-end machine learning for images / Valliappa Lakshmanan, Martin Görner, and Ryan Gillard.
- Notes :
- Indian edition reprinted by Shroff Publishers and Distributors, Includes index.
- Publication Type :
- Book
- Accession number :
- jlc.oai.folio.org.fs00001072.f403a8d6.3b89.4fea.a3b2.f7a556404dea
- Document Type :
- Online; Non-fiction