This repository contains a Jupyter Notebook detailing the implementation and training of a custom model using EfficientNet-B0. The notebook is structured to provide a comprehensive guide from data preprocessing to model training and evaluation.
- Data Preprocessing: Steps and techniques used to prepare the data for training.
- Model Architecture: Details about the EfficientNet-B0 architecture and its customization.
- Training Process: Information on training parameters, optimization techniques, and performance metrics.
- Results: Analysis of the model's performance and any key findings.
- Conclusion: Summary of the project and potential areas for future work.