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Advanced Deep Learning with R

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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R Deep Learning Essentials

theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics;

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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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Advanced Deep Learning for Engineers and Scientists

. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;

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R Deep Learning Cookbook

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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Hands-On Deep Learning with R

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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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 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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Advanced Deep Learning with Keras

that sell for over $400k because they are so human-like. Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep;

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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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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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Deep Learning with JavaScript

, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows;

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Pro Deep Learning with TensorFlow 2.0

Intermediate-Advanced user level;

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Advanced Deep Learning with Python

learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world;

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Deep Learning with R Cookbook

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

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Mastering PyTorch

Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use;

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R Deep Learning Projects

-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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Deep Learning with PyTorch

; Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples; Book DescriptionDeep;

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Machine Learning with R

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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Handbook of Deep Learning Applications

frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers;

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Python Advanced Guide to Artificial Intelligence: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents us

DescriptionThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the;

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Python Deep Learning

foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across;

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Deep Reinforcement Learning Hands-On

edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters Learn advanced exploration techniques;

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Neural Networks with R

in neural networks with R, to implement them in your applications * Build smart systems using the power of deep learning * Real-world case studies;

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Hands-On Deep Learning Algorithms with Python

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key;

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