Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Author:   Benjamin Planche ,  Eliot Andres
Publisher:   Packt Publishing Limited
ISBN:  

9781788830645


Pages:   372
Publication Date:   30 May 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras


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Author:   Benjamin Planche ,  Eliot Andres
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781788830645


ISBN 10:   1788830644
Pages:   372
Publication Date:   30 May 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Computer Vision and Neural Networks TensorFlow Basics and Training a Model Modern Neural networks Influential Classification Tools Object Detection Models Enhancing and Segmenting Images Training on Complex and Scarce Datasets Video and Recurrent Neural Networks Optimizing Models and Deploying on Mobile Devices Appendix

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Author Information

Dr. Benjamin Planche is a passionate research scientist in computer vision and machine learning. His main research efforts focus on data scarcity problems and industrial vision systems, leading to numerous patents and publications at international conferences. He worked in various research labs around the world (including in France, Japan, Germany, and the USA). Benjamin obtained his Ph.D. summa cum laude from the Faculty of Computer Science and Mathematics at the University of Passau, under the supervision of Prof. Dr. Harald Kosch. He also has a double master's degree from INSA-Lyon (France) and the University of Passau (Germany), with first-class honors and a multinational excellence award. He also likes sharing his knowledge and experience on various platforms or applying them to the creation of aesthetic demos. Eliot Andres is a freelance deep learning and computer vision engineer. He has more than 3 years' experience in the field, applying his skills to a variety of industries, such as banking, health, social media, and video streaming. Eliot has a double master's degree from École des Ponts and Télécom, Paris. His focus is industrialization: delivering value by applying new technologies to business problems. Eliot keeps his knowledge up to date by publishing articles on his blog and by building prototypes using the latest technologies.

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