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Facial Expression Recognizer

Facial Expression Recognizer

Rp 1299

Rp 4999

Facial expression recognition is a technology which uses biometric markers to detect emotions in human faces. In this project we are going to use Artificial Neural Networks & Convolutional Neural Networks for the implementation.

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Expiry period Lifetime
Made in English
Last updated at Fri Apr 2023
Level
Intermediate
Total lectures 10
Total quizzes 0
Total duration 00:55:21 Hours
Total enrolment 6
Number of reviews 1
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Short description Facial expression recognition is a technology which uses biometric markers to detect emotions in human faces. In this project we are going to use Artificial Neural Networks & Convolutional Neural Networks for the implementation.
Outcomes
  • Learn how to build convolutional neural networks on Colab.
  • Got introduced to Open CV and Dlib.
  • Created a Model that can detect different expressions in a face given their images.
  • Performed data augmentation on our images to make our model more robust.
  • Also performed two phase training on our models, where we have frozen a few layers before our model starts overfitting.
  • Also evaluated our model on Test set and applied real time prediction.
Requirements
  • Basics programming knowledge