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Synthetic Data for Deep Learning

This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on;

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Synthetic Data for Deep Learning

This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on;

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Synthetic Data for Deep Learning

book will show you how to generate synthetic data and use it to maximum effect. Synthetic Data for Deep Learning begins by tracing the need for;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Practical Synthetic Data Generation

running into privacy issues? This practical book introduces techniques for generating synthetic data-fake data generated from real data-so you can;

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Deep Learning with Structured Data

benefits and drawbacks of deep learning * Organizing data for your deep learning model * The deep learning stack * Measuring;

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HandsOn Unsupervised Learning Using Python

artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised;

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R Deep Learning Essentials

of R Deep Learning Essentials is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who;

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Deep Learning in Data Analytics

, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. Deep learning approaches;

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MATLAB Deep Learning

complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;

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Visual Saliency

learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on;

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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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Trends in Deep Learning Methodologies

predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Handbook of Deep Learning in Biomedical Engineering

-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and;

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Introduction to Deep Learning for Healthcare

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that;

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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed;

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Deep Learning with Theano

Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial;

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R Deep Learning Cookbook

from text, image and speech * Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or;

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Practical MATLAB Deep Learning

Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.;

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Practical MATLAB Deep Learning

for spacecraft MATLAB Bluetooth data acquisition applied to dance physics What You Will LearnExplore deep learning using MATLAB and compare it;

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Deep Learning with TensorFlow

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Hands-On Deep Learning for IoT

scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the;

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