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vision algorithms and their applications using PyTorch. The book begins with the fundamentals of computer vision: convolutional neural nets;
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Intermediate user level;...
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the PyTorch way, with high-level functions, optimizers, and more Convolutional Neural Networks - create advanced computer vision systems;
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Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use;
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neural networks (ANNs) Handle computer vision problems with convolutional neural networks (CNNs) Perform language translation tasks using;
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detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer;
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* Get to grips with the basics of Computer Vision and image processing * This is a step-by-step guide to developing several real-world Computer;
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Build neural network models in text, vision and advanced analytics using PyTorch Key Features Learn PyTorch for implementing cutting-edge;
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Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and;
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Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch;
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at Computer Science graduates, researchers, and computer vision experts widening their expertise.;
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chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated;
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. Each chapter deals with a different aspect of the Computer Vision field and the implementation of that topic in Emgu CV.If you are a C;
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and for specialists in computer vision and robotics on the techniques for the development of vision-based robot projects. It focusses on;
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Expand your knowledge of computer vision by building amazing projects with OpenCV 3 About This Book * Build computer vision projects;
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Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition;
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in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most;
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Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;
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started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch;
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Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process;
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implement Computer Vision algorithms in an effective way * A fast-paced guide to help you deal with real-world Computer Vision applications using;
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computing and augmented reality. Key Features Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4;
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Research in Computer and Robot Vision is directed toward researchers and graduate students in the field of computer vision. A broad;
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restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python;
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Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch Improve your NLP applications with innovative neural;
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This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;
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those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and;
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