syaha
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skin_cancer_detection_model

Image Classification

skin-cancer-detection

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syaha commited on Oct 10

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@@ -71,7 +71,7 @@ The training configuration:
 - Optimizer: **Adam**
 - Loss function: **Categorical Crossentropy**
 - Batch size: **32**
-- Epochs: **50**
 ## Metrics
 - **Accuracy**: The primary evaluation metric was accuracy. The model achieved **73%** accuracy on the validation set.

 - Optimizer: **Adam**
 - Loss function: **Categorical Crossentropy**
 - Batch size: **32**
+- Epochs: **10**
 ## Metrics
 - **Accuracy**: The primary evaluation metric was accuracy. The model achieved **73%** accuracy on the validation set.