Computer Vision books

Michael Yuan and Tony Yuan , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Anuradha Kar , 2024
Rod Stephens , 2024
Rod Stephens , 2024
Rod Stephens , 2024
Vishwesh Shrimali , 2021
Kanishka Tyagi & Raghavendra Sriram , 2022
Kanishka Tyagi & Raghavendra Sriram , 2022
Kanishka Tyagi & Raghavendra Sriram , 2022
Kanishka Tyagi & Raghavendra Sriram , 2022
Xiaotian Han , 2021
Rod Stephens , 2021
Pavel Korshunov , 2021
Pavel Korshunov , 2021
Pavel Korshunov , 2021
Pavel Korshunov , 2021
Andrej Baranovskij , 2021
Andrej Baranovskij , 2021
Anuradha Kar , 2021
Ashish Rana , 2021
David Stork and Max Dehaut , 2021
Olga Petrova , 2021
Hans Gunnoo and Byron Galbraith , 2021
Raul Gomez , 2021
Orsolya Putz and Zoltan Varju , 2021
Orsolya Putz and Zoltan Varju , 2021
Orsolya Putz and Zoltan Varju , 2021
Vishwesh Shrimali , 2021
Vishwesh Shrimali , 2021
Vishwesh Shrimali , 2021
Vishwesh Shrimali , 2021
Vishwesh Shrimali , 2021
Karthik Muthuswamy , 2021
(4)
Mohamed Elgendy , 2020
Armin Kappeler and Aadit Patel , 2020
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Master the cutting-edge field of computer vision through comprehensive resources covering image processing, object detection, face recognition, and deep learning applications. Explore essential tools like TensorFlow, PyTorch, and OpenCV while learning advanced techniques in neural networks, GANs, and transfer learning. From foundational concepts to specialized applications in healthcare, autonomous vehicles, and art analysis, discover how to build and deploy sophisticated visual recognition systems. Delve into practical implementations of pose estimation, image segmentation, deepfake detection, and real-time machine learning models across various platforms and devices.