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Sentimental Analysis and Deep Learning

This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021;

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Deep Learning for Medical Image Analysis

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;

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Deep Learning for Data Analytics

analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning;

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The Sentimental Touch

, instead becoming sprawling organizations controlled by complex bureaucracies. Sentimental literature-work written specifically to convey and;

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Computational Methods for Deep Learning

research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book;

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Computational Methods for Deep Learning

research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book;

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Deep Learning with Structured Data

most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data;

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Image Analysis and Recognition

Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and;

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Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based;

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Deep Learning in Data Analytics

prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the;

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Deep Learning Applications Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It;

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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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Sentimental Twain

In Sentimental Twain, Gregg Camfield examines the major and minor works of Mark Twain to redraw the boundaries between sentimentalism and;

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and;

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Deep Learning for the Life Sciences

Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life;

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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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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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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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Python Machine Learning -

using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning;

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Hands-On Deep Learning with Apache Spark

of distribution modeling and different types of neural networks Obtain an understanding of deep learning algorithms Discover textual analysis and deep;

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Deep Learning for Hyperspectral Image Analysis and Classification

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise;

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Deep Learning for Hyperspectral Image Analysis and Classification

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise;

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Computer Analysis of Images and Patterns

and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;

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Deep Learning

interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide;

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Deep Learning in Bioinformatics

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how;

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Deep Learning in Medical Image Analysis

lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and;

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