Application of Deep Learning in Food: A Review

Resource | v1 | created by janarez on Oct 29, 2020 |

Type Paper

Created 2019-09-16

Available at onlinelibrary.wiley.com/doi/abs/10.1111/1541-4337.12492

Identifier ISSN: 1541-4337

Description

Deep learning has been proved to be an advanced technology for big data analysis with a large number of successful cases in image processing, speech recognition, object detection, and so on. Recently, it has also been introduced in food science and engineering. To our knowledge, this review is the first in the food domain.

Relations

about Automatic food clasiffication

Many people are interested in tracking what they eat to help them achieve weight loss goals or manag...

references Im2Calories: Towards an Automated Mobile Vision Food Diary

We present a system which can recognize the contents of your meal from a single image, and then pred...

External link preview

Edit details Edit relations Attach new author Attach new topic Attach new resource

4.0 /10

useless alright awesome

from 1 review

Write comment Rate resource Tip: Rating is anonymous unless you also write a comment.

Resource level 3.0 /10: beginner intermediate advanced
Resource clarity 5.0 /10: hardly clear sometimes unclear perfectly clear
Reviewer's background 6.0 /10: none basics intermediate advanced expert

Comments 1

janarez on Oct 29, 2020

4 rating 3 level 5 clarity 6 user's background

First available "comprehensive" review

Quite superficial, ad hoc. Sometimes the language was unclear.

It gives general overview that at this time is not available elsewhere, but its quality is poor.