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Deep Learning for Vision Systems

). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can;

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R Deep Learning Essentials

computer vision and text Apply deep learning techniques in cloud for large-scale processing Build, train, and optimize neural network models on a;

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Advanced Concepts for Intelligent Vision Systems

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems;

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PyTorch Deep Learning Hands-On

learning models from prototyping to production Book DescriptionPyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide;

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Congress on Intelligent Systems

transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video;

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Congress on Intelligent Systems

transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video;

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TensorFlow Deep Learning Projects

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep;

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Deep Learning for Biometrics

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Mission Oriented Sensor Networks and Systems Art and Science

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary;

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Domain Adaptation in Computer Vision with Deep Learning

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

Discover the deep learning techniques required to build computer vision applications Build complex computer vision applications using the latest;

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Deep Learning for Computer Vision

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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Computer Vision Metrics

-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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Deep Learning in Computer Vision

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions;

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Hands-On Convolutional Neural Networks with TensorFlow

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;

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Deep Learning with R

other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who;

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Machine Learning for OpenCV 4

how they can be used for object detection computer vision operations. You will then delve into deep learning and ensemble learning, and;

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Deep Learning in Computer Vision: Principles and Applications

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 Essentials

up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different;

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Trends in Deep Learning Methodologies

. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision;

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Graph Representation Learning

. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Artificial Vision and Language Processing for Robotics

Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to;

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Practical Computer Vision Applications Using Deep Learning with CNNs

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the;

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Computer Vision Systems

learning vision systems; cognitive vision systems; movement analytics and gesture recognition for human-machine collaboration in industry;

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