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Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and more Key Features Deep Learning;
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Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks;
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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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Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow;
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Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key;
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Deeplearning4j to implement deep learning models from scratch Explore recipes for developing, training, and fine-tuning your neural network models;
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Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the;
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A seasonal cookbook geared toward home cooks contending with SIBO and IBS, as well as toward readers interested in learning more about how;
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Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from;
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Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key Features;
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This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your;
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The Blended Learning Cookbook presents a way for trainers and teachers to analyse a learning need and to choose effectively from the ever;
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This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;
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This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;
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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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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, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;
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Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics;
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Resolving and offering solutions to your machine learning problems with R About This Book * Implement a wide range of algorithms and;
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This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;
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Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;
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Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;
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This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;
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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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on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use;
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