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Emotion Detection using CNN | Emotion Detection Deep Learning project |Machine Learning | Data Magic

Hello Friends,
In this episode we are going to do Emotion Detection using Convolutional Neural Network(CNN). I will do the step by step implementation starting for the dataset download, accessing data set, preprocessing images, designing CNN, training CNN , saving trained model and using that saved model to do the emotion detection on video or live stream.

Code link : https://github.com/datamagic2020/Emotion_detection_with_CNN

Emotion detection in 5 Lines using pre-trained model -: https://youtu.be/ERXqo_ZEnIo

=========== Time Code ===========
00:01 Introduction to Emotion Detection using CNN
01:21 FER 2013 Facial Expression Dataset
04:12 files in emotion detection project
05:52 Image preprocessing using Image Data Generator
08:09 Design/Create Convolution Neural Network for Emotion Detection
10:33 Train out CNN with FER 2013 Dataset / Train CNN for Emotion Detection
11:59 Save the trained model weights and structure
13:08 Test Trained Emotion Detection model
14:15 Load saved model
15:05 Access Video or Camera Feed for testing Emotion Detection model
16:20 Face detection with Haarcascade classifier
18:16 Detect and Highlight each face on video
20:06 Predict Emotion using model
20:21 Display Emotion on video
21:53 Emotion Detection Demo
24:58 emotion detection improvisations

Stay tuned and enjoy Machine Learning !!!
Cheers !!!

#emotiondetection #CNN #DeepLearning

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