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Deep Learning for Hydrometeorology and Environmental Science

algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and;

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Deep Learning for Hydrometeorology and Environmental Science

algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and;

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Terrestrial Hydrometeorology

of hydrometeorology. The book will be essential reading for graduate students studying surface water hydrology, meteorology, and hydrometeorology. It can also;

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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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Hydrometeorology

undergraduate and postgraduate students on hydrologyhydrometeorology, environmental science and geography courses. Professionals in environmental;

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Hydrometeorology

undergraduate and postgraduate students on hydrologyhydrometeorology, environmental science and geography courses. Professionals in environmental;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning;

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Deep Learning in Data Analytics

, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. Deep learning approaches;

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Bath Advanced Science - Environmental Science

at AS and A Level. This text is an invaluable resource promoting interactive learning. Environmental Science is the market leader for this;

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Deep Learning and Linguistic Representation

achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the;

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Deep Learning and Linguistic Representation

achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the;

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Machine Learning: The Most Complete Guide for Beginners to Mastering Deep Learning, Artificial Intelligence and Data Science with Python. This Book Includes

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Machine Learning: The Most Complete Guide for Beginners to Mastering Deep Learning, Artificial Intelligence and Data Science with Python. This Book Includes

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Principles of Environmental Science

Science: Inquiry and Applications to 16 chapters - perfect for the one-semester, non-majors environmental science course. True to its title, the;

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R Deep Learning Cookbook

from text, image and speech * Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or;

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Probabilistic Deep Learning

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty;

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Java Deep Learning Essentials

in and find out how to tackle Deep Learning Who This Book Is For This book is intended for data scientists and Java developers who want to;

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Mission Oriented Sensor Networks and Systems Art and Science

processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning;

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Computational Methods for Deep Learning

research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book;

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Computational Methods for Deep Learning

research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book;

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Deep Learning Projects Using TensorFlow 2

creating music Restore and colorize black and white images with deep learning processes Who This Book Is For Beginners new to TensorFlow and;

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Environmental Science

thoroughness. With 125 photographs and illustrations, this book is a unique and valuable resource for anyone interested in learning more about-and;

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Deep Learning in Mining of Visual Content

authors give a fresh view on Deep learning approaches both from the point of view of image understanding and supervised machine learning. It;

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and;

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast;

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Deep Learning in Introductory Physics

intellectual conflict, provide valuable insights into student learning and cast a new vision for physics teaching. This book is the first publication;

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Deep Learning in Introductory Physics

intellectual conflict, provide valuable insights into student learning and cast a new vision for physics teaching. This book is the first publication;

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