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✔️ Involved training neural networks to accurately classify facial expressions using annotated facial image datasets, models were constructed and trained with PyTorch's deep learning capabilities.
✔️ Project was employed by convolutional neural networks (CNNs).
✔️ The success of the project was gauged through the model's proficiency in accurately identifying expressions on unseen data, with potential applications ranging from emotion-aware interfaces to behavioral analysis in psychology and market research.
I am Participating in GSSOC'24.
The text was updated successfully, but these errors were encountered:
✔️ Involved training neural networks to accurately classify facial expressions using annotated facial image datasets, models were constructed and trained with PyTorch's deep learning capabilities.
✔️ Project was employed by convolutional neural networks (CNNs).
✔️ The success of the project was gauged through the model's proficiency in accurately identifying expressions on unseen data, with potential applications ranging from emotion-aware interfaces to behavioral analysis in psychology and market research.
I am Participating in GSSOC'24.
The text was updated successfully, but these errors were encountered: