MACHINE LEARNING SERVICE FOR STUDENT REGISTRATION
DOI:
https://doi.org/10.17770/het2020.24.6759Keywords:
machine learning, cognitive serviceAbstract
The paper provides various tips for machine learning tehnology. The main part describes main functionality of machine learning service for human face recognitionDownloads
References
AI open platform (07.03.2020) https://www.faceplusplus.com/
Amazon Reckognition (09.02.2020) https://aws.amazon.com/rekognition/
Microsoft Azure (07.03.2020) https://portal.azure.com/#@rta.lv/resource/subscriptions/138e9c5d-9ec3-47f3-a182-69cea8f9c06a/resourceGroups/Face/providers/Microsoft.CognitiveServices/accounts/RandomApi/quickstart
Microsoft Azure studio (04.03.2020) https://docs.microsoft.com/en-us/azure/machine-learning/studio/what-is-ml-studio
Face API (07.02.2020) https://azure.microsoft.com/en-us/services/cognitive-services/face/#demo
Viola-Johnes alghoritm (03.04.2020) https://medium.com/datadriveninvestor/understanding-and-implementing-the-viola-jones-image-classification-algorithm-85621f7fe20b
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Published
22.04.2020
Issue
Section
Information Technologies
How to Cite
[1]
A. Točelovskis and A. Teilāns, “MACHINE LEARNING SERVICE FOR STUDENT REGISTRATION”, HET, no. 24, pp. 103–109, Apr. 2020, doi: 10.17770/het2020.24.6759.