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This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various;
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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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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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This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution;
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This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution;
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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;
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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;
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This book provides the reader with the fundamental knowledge in the area of deep learning with application to visual content mining. The;
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, society, schools, and science itself. Through engaging case stories, Deep Knowledge challenges some commonly held assumptions about learning to;
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This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain;
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Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;
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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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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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Deep Learning in Introductory Physics: Exploratory Studies of Model?Based Reasoning is concerned with the broad question of how students;
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Deep Learning in Introductory Physics: Exploratory Studies of Model?Based Reasoning is concerned with the broad question of how students;
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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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Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with;
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The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used;
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Vergelijkbare producten zoals 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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At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning;
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Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content;
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Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content;
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Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty;
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optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores;
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applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics;
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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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