Description

Book Synopsis
In just the past five years, deep learning has taken the world by surprise, driving rapid progress in fields as diverse as computer vision, natural language processing, automatic speech recognition, etc. This book presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction.

Table of Contents
Preface; Application of Deep Learning in Recommendation System; Deep Learning Based Approaches for Text Recognition; Applications of Deep Learning in Diabetic Retinopathy Detection; Deep Learning Approaches for the Prediction of Breast Cancer; Deep Learning Techniques for the Prediction of Epilepsy; Deep Learning and Its Applications; An Introduction to Sentiment Analysis using Deep Learning Techniques; Deep Learning Techniques in Protein-Protein Interaction; Various Machine Learning Categories for Software Defect Prediction; Index.

Deep Learning and its Applications

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    A Hardback by Arvind Kumar Tiwari

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      View other formats and editions of Deep Learning and its Applications by Arvind Kumar Tiwari

      Publisher: Nova Science Publishers Inc
      Publication Date: 01/12/2021
      ISBN13: 9781685071851, 978-1685071851
      ISBN10: 1685071856

      Description

      Book Synopsis
      In just the past five years, deep learning has taken the world by surprise, driving rapid progress in fields as diverse as computer vision, natural language processing, automatic speech recognition, etc. This book presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction.

      Table of Contents
      Preface; Application of Deep Learning in Recommendation System; Deep Learning Based Approaches for Text Recognition; Applications of Deep Learning in Diabetic Retinopathy Detection; Deep Learning Approaches for the Prediction of Breast Cancer; Deep Learning Techniques for the Prediction of Epilepsy; Deep Learning and Its Applications; An Introduction to Sentiment Analysis using Deep Learning Techniques; Deep Learning Techniques in Protein-Protein Interaction; Various Machine Learning Categories for Software Defect Prediction; Index.

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