Читать книгу Handbook on Intelligent Healthcare Analytics - Группа авторов - Страница 42

Input data can be used for extracting the features by using the multiple layers and such algorithm classes constitute deep learning [20]. The learning performance is improved with a wide scope of application [3, 10]. The main disadvantage of using the algorithms in deep learning is that they take more time for training the data. These algorithms can be employed for solving problems such as assessment of damage, detecting motion, recognizing facial expressions, prediction of transportation, and also supports the management of disaster using natural language processing (NLP). Both Recursive and Recurrent Neural Networks can be used for applying along with NLP. At the same time, Convolutional Neural Networks can be used in image classification, text processing, and computer vision [19].