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Title: GitHub - rashed35/Emotion-Classification-Ravdess: Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set.

Open Graph Title: GitHub - rashed35/Emotion-Classification-Ravdess: Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set.

X Title: GitHub - rashed35/Emotion-Classification-Ravdess: Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set.

Description: Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set. - rashed35/Emotion-Classification-Ravdess

Open Graph Description: Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set. - rashed35/Emotion-Classification-Ravdess

X Description: Understanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set. - rashed35/Emotion-Classification-Ravdess

Opengraph URL: https://github.com/rashed35/Emotion-Classification-Ravdess

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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og:image:altUnderstanding emotions with Neural Networks (Python, Scikit-Learn, Keras) and the Ravdess dataset: 95% accuracy on the training set and 92% on the test set. - rashed35/Emotion-Classification-Ravdess
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