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@@ -103,19 +103,19 @@ from the class and ended up with 1,607. <br>
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  **Class Examples**
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  - <u>Recycle<u>
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- <img src='Recycle CLass.png' alt="recycle class images" width="400" height="400">
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  - <u>Trash<u>
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- <img src='Trash CLass.png' alt="trash class images" width="400" height="400">
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  - <u>Compost<u>
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- <img src='Compost Class.png' alt="compost class images" width="400" height="400">
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  - <u>Specialized Disposal<u>
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- <img src='Specialzied Disposal CLass.png' alt="specialized disposal class images" width="400" height="400">
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  **Confusion Matrix**
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- ![Normalized Confusion Matrix](confusion_matrix_normalized.png)
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  **Train/Loss and Val/Loss Curves**
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- ![Train/Loss and Val/Loss Curves](results.png)
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  **Peformance Analysis**
 
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  **Class Examples**
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  - <u>Recycle<u>
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+ <img src='Recycle CLass.png' alt="recycle class images" width="200" height="200">
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  - <u>Trash<u>
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+ <img src='Trash CLass.png' alt="trash class images" width="200" height="200">
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  - <u>Compost<u>
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+ <img src='Compost Class.png' alt="compost class images" width="200" height="200">
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  - <u>Specialized Disposal<u>
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+ <img src='Specialzied Disposal CLass.png' alt="specialized disposal class images" width="200" height="200">
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  **Confusion Matrix**
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+ <img src='confusion_matrix_normalized.png' alt="Normalized Comfusion Matrix" width="200">
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  **Train/Loss and Val/Loss Curves**
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+ <img src='results.png' alt="Train/Loss and Val/Loss Curves" width="200">
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  **Peformance Analysis**