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

by Valliappa Lakshmanan , Martin Grner , and Ryan Gillard

Copyright 2021 Valliappa Lakshmanan, Martin Grner, and Ryan Gillard. All rights reserved.

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978-1-098-10236-4

[LSI]

Machine learning on images is revolutionizing healthcare, manufacturing, retail, and many other sectors. Many previously difficult problems can now be solved by training machine learning (ML) models to identify objects in images. Our aim in this book is to provide intuitive explanations of the ML architectures that underpin this fast-advancing field, and to provide practical code to employ these ML models to solve problems involving classification, measurement, detection, segmentation, representation, generation, counting, and more.

Image classification is the hello world of deep learning. Therefore, this book also provides a practical end-to-end introduction to deep learning. It can serve as a stepping stone to other deep learning domains, such as natural language processing.

You will learn how to design ML architectures for computer vision tasks and carry out model training using popular, well-tested prebuilt models written in TensorFlow and Keras. You will also learn techniques to improve accuracy and explainability. Finally, this book will teach you how to design, implement, and tune end-to-end ML pipelines for image understanding tasks.