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This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars;
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A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineers Key Features;
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). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can;
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, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This;
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question answering, machine translation, and optical character recognition. It's behind photo tagging, self-driving cars, virtual assistants and;
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Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions;
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Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions;
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Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;
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. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural;
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, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both;
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, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones;
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video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with;
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Learn * Explore and make effective use of OpenCV's machine learning module * Learn deep learning for computer vision with Python * Master;
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dealing with the noise and uncertainty of real world data -a crucial factor for self-driving cars, scientific results, financial;
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This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary;
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integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis;
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This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary;
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kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to;
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-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter;
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Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene;
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Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer;
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Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer;
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TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on;
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researchers working in artificial intelligence, machine learning, deep learning and computer vision. Industry professionals and entrepreneurs seeking;
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and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;
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introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and;
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computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.;
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