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Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;

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Deep Learning Projects Using TensorFlow 2

Work through engaging and practical deep learning projects using TensorFlow 2.0.;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning with Python

FEATURES * Practical code examples * In-depth introduction to Keras * Teaches the difference between Deep Learning and AI ABOUT THE;

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Learn Keras for Deep Neural Networks

on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use;

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Pro Deep Learning with TensorFlow

required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on;

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Deep Learning

and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for;

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Python Deep Learning

. What You Will Learn * Get a practical deep dive into deep learning algorithms * Explore deep learning further with Theano, Caffe, Keras;

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Deep Learning

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm;

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Deep Learning: Concepts and Architectures

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm;

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Deep Learning

alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers;

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Deep Learning with R

want to use deep learning to solve real-world problems. The book is structured around a series of practical examples that introduce each new;

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Hands-On Deep Learning for Images with TensorFlow

fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;

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Deep Learning with Structured Data

identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by;

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Modern Deep Learning Design and Application Development

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and;

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Deep Learning for Remote Sensing Images with Open Source Software

Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing;

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Deep Learning for Remote Sensing Images with Open Source Software

Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing;

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Deep Learning: Algorithms and Applications

alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers;

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Deep Learning Projects Using TensorFlow 2

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will;

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Deep Learning with Python

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;

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Deep Learning with Python

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;

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Machine Learning in the Oil and Gas Industry

unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the;

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Machine Learning in the Oil and Gas Industry

unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how;

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