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--- |
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license: apache-2.0 |
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--- |
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1. Project Title and Description |
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2. Purpose |
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3. Installation Instructions |
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4. Usage Instructions |
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5. Model Architecture |
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6. Training Details |
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7. Evaluation |
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8. Examples |
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9. Contributing |
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10. License |
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# CNN Image Classifier |
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## Description |
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This project provides a Convolutional Neural Network (CNN) model for classifying images as either 'real' or 'fake'. The model is based on the ResNet50 architecture and has been fine-tuned for binary classification tasks. |
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## Purpose |
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The CNN model is designed to classify images into two categories: 'real' and 'fake'. This can be useful for various applications, including detecting AI-generated content. |
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## Installation |
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Ensure you have the following dependencies installed: |
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```bash |
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pip install tensorflow numpy opencv-python scikit-learn |
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