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angular-margin-loss

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A comprehensive collection of implementations for Deep Neural Networks, including Autoencoders, MLPs, CNNs, RNNs (LSTM/GRU), Sparse R-CNN, and Transformers. Features applications in dimensionality reduction, face recognition with Angular Margin Loss, sentiment analysis, object detection, and NLP classification

  • Updated Jun 28, 2026
  • Jupyter Notebook

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