Sentiment-Analysis-from-Images-Using-Deep-Learning
PublicConvolutional Neural Network (CNN) was trained on 48x48 pixel grayscale images to predict 5 different emotions from images. Ten different models with different settings were trained to find the best model and The best model was able to predict 5 emotions from images with 88% training accuracy and 70% testing accuracy.
cnn-for-visual-recognitioncnn-kerasimagesjupyter-notebookmachine-learningmachinelearning-pythonmobilenetv2sentiment-analysistransfer-learningvgg19
Creat：2022-09-22T05:27:21
Update：2025-03-25T15:31:07
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