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

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R Deep Learning Cookbook

in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians;

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R Deep Learning Essentials

field of deep learning. This book will introduce you to the deep learning package H2O with R and help you understand the concepts of deep;

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Deep Learning with R for Beginners

processing Implement effective deep learning systems in R with the help of end-to-end projects Book DescriptionDeep learning finds practical;

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Hands-On Deep Learning for Images with TensorFlow

learning. With the help of this book, you will get to grips with the different paradigms of performing deep learning such as deep neural nets and;

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Advanced Deep Learning with R

Features Implement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning models operate using;

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Deep Learning

Deep Learning provides an overview of general deep learning methodology and its applications to a variety of signal and information;

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Data Science

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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Introduction to Deep Learning Using R

Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for;

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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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Deep Learning with R Cookbook

book will get you up and running with R 3.5.x to help you implement DL techniques. The book starts with the various DL techniques that you can;

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Hands-On Convolutional Neural Networks with TensorFlow

book, you will be training CNNs in no time! We start with an overview of popular machine learning and deep learning models, and then get you;

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Deep Learning with JavaScript

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js;

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R Deep Learning Essentials

vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world;

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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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Hands-On One-shot Learning with Python

information about an object from one or just a few training samples. The book begins with an overview of deep learning and one-shot learning and then;

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Learn Keras for Deep Neural Networks

with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from;

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Learning Bayesian Models with R: Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an;

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Deep Learning with Theano

intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep;

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Deep Learning for Natural Language Processing

architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance;

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such;

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Deep Learning for Beginners

. The book begins with a basic overview of machine learning, guiding you through setting up popular Python frameworks. You will also understand;

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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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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit Key Features Understand the fundamentals;

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Automatic Speech Recognition: A Deep Learning Approach

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep;

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Mastering Machine Learning on AWS

provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical;

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Foundations of Linear and Generalized Linear Models

applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the;

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