- Добавил: literator
- Дата: 14-03-2023, 12:46
- Комментариев: 0
![Diagnosis of Neurological Disorders Based on Deep Learning Techniques](/uploads/posts/2023-03/1678787211_8851_diagnosis_of_n_urological_disord_rs_bas_d_on_d__p_l_arning_t_chniqu_s.jpg)
Автор: Jyotismita Chaki
Издательство: CRC Press
Год: 2023
Страниц: 237
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB
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. A particular focus is placed on the application of feed-forward neural networks, deep generative models ( e.g., stacked auto- encoders, deep belief networks, deep Boltzmann machine, and generative adversarial networks), convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. The theory behind each Deep Learning architecture will be supported by practical examples (case studies) in this book.