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Deep Learning with R for Beginners

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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R Deep Learning Projects

learning by implementing practical projects in R will find this book a useful resource. A knowledge of R programming and the basic concepts of deep;

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R Deep Learning Essentials

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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Deep Learning Projects Using TensorFlow 2

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

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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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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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TensorFlow Deep Learning Projects

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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R Deep Learning Essentials

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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Mastering Machine Learning with R -

Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;

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R Deep Learning Cookbook

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;

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R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;

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Deep Learning with R

other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who;

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Hands-On Deep Learning with R

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and;

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Python Reinforcement Learning Projects

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;

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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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Hands-On Deep Learning for Images with TensorFlow

Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision;

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key;

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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 with R Cookbook

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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Deep Learning with Python

DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Introduction to Deep Learning Using R

. 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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Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects About This Book * Get to grips with the;

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Deep Learning Models and its application: An overview with the help of R software

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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