Diving Deep into the Data: A Review of Deep Learning Approaches and Potential Applications in Foodomics

Deep learning is a trending field in bioinformatics; so far, mostly known for image processing and speech recognition, but it also shows promising possibilities for data processing in food analysis, especially, foodomics. Thus, more and more deep learning approaches are used. This review presents an...

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Bibliographic Details
Main Authors: Lisa-Carina Class, Gesine Kuhnen, Sascha Rohn, Jürgen Kuballa
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/10/8/1803