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. Wergin calls upon recent research in learning theory, social psychology, politics, and the arts to show how a deep learning mindset can be;
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. Wergin calls upon recent research in learning theory, social psychology, politics, and the arts to show how a deep learning mindset can be;
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to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity;
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advanced algorithms. You will learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. Featuring further;
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In Detail With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep;
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Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;
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have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;
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Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business;
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recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as;
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that can indicate the range of possible outcomes * Bayesian deep learning that allows for the uncertainty occurring in real-world;
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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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, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You'll see how deep learning is a;
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learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;
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learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;
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with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from;
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than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an;
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learning problems concerning research and application Who This Book Is For The book is intended for a general audience of people interested;
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Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the;
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This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The;
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and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and;
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and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and;
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In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible;
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In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible;
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studies, this book will ground you in creative, real-world deep learning thinking. YoĆ¼ll begin with a structured guide to using Keras, with;
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industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;
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Build and run intelligent applications by leveraging key Java machine learning libraries About This Book * Develop a sound strategy to;
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This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE;
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