Barnes and Noble Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques (English Edition) at Mall of America® in Bloomington, MN

Deep Learning Computer Vision: Principles and Applications

Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

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Barnes & Noble

Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Applied deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using neural networks behavior-cloning techniques

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques Use Cases

Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Deep Learning and Edge Computing Solutions for High Performance

Efficient Algorithms for Global Optimization Methods in Computer Vision: International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers

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Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques (English Edition)

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Deep Learning Computer Vision: Principles and Applications

Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Applied deep Learning and Computer Vision for Self-Driving Cars: Build autonomous vehicles using neural networks behavior-cloning techniques

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques Use Cases

Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Deep Learning and Edge Computing Solutions for High Performance

Efficient Algorithms for Global Optimization Methods in Computer Vision: International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers

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