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Update README.md with new evaluation criteria #7

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11 changes: 6 additions & 5 deletions README.md
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Expand Up @@ -60,13 +60,14 @@ Students will build a Convolutional Neural Network (CNN) model to classify image
## Evaluation Criteria

- Accuracy of the trained models on the validation set. **30 points**
- Clarity and completeness of the report. **20 points**
- Clarity and completeness of the report. **30 points**
- Quality of code implementation. **5 points**
- Proper handling of data preprocessing and models training. **30 points**
- Proper handling of data preprocessing **10 points**
- Proper models training. **10 points**
- Code quality. **10 points**
- Demonstration of understanding key concepts of deep learning. **5 points**
- Model deployment. **10 points**

<span style="color:red; weight: bold">**Passing Score is 70 points**</span>.
- Model deployment. **Optional, +10 points**
- Penalty: Going over time in your presentation **-10 points**

## Submission Details

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