Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Deep learning tries to achieve this by drawing inspiration from the learning of a human brain. Similar to the basic structure of a brain, which consists...
Guardado en:
Autores principales: | Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/12b881bfcd0846b0b3a8a9e6e5d976ba |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
AI
Publicado: (2020) -
Employee Attrition Prediction Using Deep Neural Networks
por: Salah Al-Darraji, et al.
Publicado: (2021) -
Analyze the effectiveness of an algorithm for identifying Polish characters in handwriting based on neural machine learning technologies
por: Dawid Grzelak, et al.
Publicado: (2021) -
Research Progress of Deep Learning in Retinal Vessel Segmentation
por: LI Lanlan1, ZHANG Xiaohui1, NIU Decao3, HU Yihuang1, ZHAO Tiesong1, WANG Dabiao2+
Publicado: (2021) -
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
por: Ahmed Bahaa Farid, et al.
Publicado: (2021)