Diagnosis of Neurological Disorders Based on Deep Learning Techniques is popular PDF and ePub book, written by Jyotismita Chaki in 2023-05-15, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Diagnosis of Neurological Disorders Based on Deep Learning Techniques can be Read Online from any device for your convenience.

Diagnosis of Neurological Disorders Based on Deep Learning Techniques Book PDF Summary

This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders. Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis. Explores data preprocessing techniques involved in diagnosis. Includes real-time case studies and examples. This book is aimed at graduate students and researchers in biomedical imaging and machine learning.

Detail Book of Diagnosis of Neurological Disorders Based on Deep Learning Techniques PDF

Diagnosis of Neurological Disorders Based on Deep Learning Techniques
  • Author : Jyotismita Chaki
  • Release : 15 May 2023
  • Publisher : CRC Press
  • ISBN : 9781000872187
  • Genre : Computers
  • Total Page : 268 pages
  • Language : English
  • PDF File Size : 13,9 Mb

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