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tensorflowkeras

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imehranasgari / DL_TensorFlowKeras_Categorical_Focal_Custom_Loss

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Jupyter notebooks on custom loss functions in TensorFlow/Keras: modified MSE penalizing overconfidence and Categorical Focal Loss with L1/L2 regularization for imbalanced multi-class tasks (e.g., cats_vs_dogs). Includes model building, preprocessing, GPU checks, and focuses on learning mechanics over metrics.

python benchmark deep-learning custom interactive tensorflow numpy keras cnn classification regularization adam cross-entropy loss focal categorical custom-logs tensorflowkeras low-level-api-tensorflow
  • Updated Aug 17, 2025
  • Jupyter Notebook

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