Shypd.aiThe largest open index of AI toolsEmotion-recognition-neural-networks is an open-source project for emotion recognition using deep neural networks with TensorFlow. It leverages convolutional neural networks for mood recognition, trained on the FER-2013 Faces Database.
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Emotion-recognition-neural-networks is an open-source project developed for emotion recognition using deep neural networks, specifically with TensorFlow. It employs convolutional neural networks (CNNs) for mood recognition, utilizing the FER-2013 Faces Database which contains 28,709 pictures across 7 emotional expressions. The project provides scripts for data transformation from CSV to NumPy, and supports training models using architectures like AlexNet. While the repository notes that the code might not be actively maintained or fully functional, it serves as a foundational academic project for those interested in exploring DNN-based emotion recognition.
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