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learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also;
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learning. You'll then learn about high-performance computation using GPUs, along with learning about parallel computation capabilities in R. Later;
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branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will;
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algorithms for unsupervised data using deep learning concepts with R * Master the common problems faced such as overfitting of data, anomalous;
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in learning effective data visualization techniques with R and a wide-range of its associated libraries.;
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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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other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who;
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Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;
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If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;
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with R programming. This book starts with a brief overview of machine learning and deep learning and how to build your first neural network;
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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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. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement;
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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;
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-world projects related to text generation, sentiment analysis, fraud detection, and more Get to grips with R's impressive range of Deep Learning;
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approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful;
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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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Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine;
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. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the;
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Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;
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provide you with the ultimate reference for PlayStation(R)Mobile development. If you've got some prior experience with C# and want to create;
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, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows;
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intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers;
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This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this;
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This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this;
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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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