Deep Learning for Computer Vision : Expert techniques to train advanced neural networks using TensorFlow and Keras
Rajalingappaa Shanmugamani
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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
Benjamin Planche
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Concise Computer Vision : An Introduction into Theory and Algorithms
Reinhard Klette
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Understanding Vision
Glyn W. Humphreys
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Image Understanding : Advances in Computational Vision, Volume One
Whitman Richards
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Image Understanding : Advances in Computational Vision, Volume Two
Whitman Richards
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Image Understanding : Advances in Computational Vision, Volume Three
Harry W. Tyrer
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Deep Learning for Computer Vision with SAS : An Introduction
Robert Blanchard
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Deep Learning for Computer Vision with SAS : An Introduction
Robert Blanchard
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OpenCV 4 for Secret Agents : Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers, 2nd Edition
Joseph Howse
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Qt 5 and OpenCV 4 Computer Vision Projects : Get up to speed with cross-platform computer vision app development by building seven practical projects
Zhuo Qingliang
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Hands-On Generative Adversarial Networks with Keras : Your guide to implementing next-generation generative adversarial networks
Rafael Valle
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
Anubhav Singh
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Hands-On Ensemble Learning with Python : Build highly optimized ensemble machine learning models using scikit-learn and Keras
George Kyriakides
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Hands-On Deep Learning for IoT : Train neural network models to develop intelligent IoT applications
Md. Rezaul Karim
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OpenCV 3.0 Computer Vision with Java
Daniel Lelis Baggio
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