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ConvNet Wiki

Welcome to the ConvNet Wiki! This documentation provides in-depth information about the AlexNet-based convolutional neural network implementation.

Table of Contents

1. AlexNet Architecture Theory
2. Advanced Training Configuration
3. Data Preparation Guide
4. Hyperparameter Tuning
5. Model Performance and Metrics
6. Advanced Troubleshooting
7. TensorFlow 2.x Migration Notes

Quick Links

• For basic usage, see the README
• For detailed architecture explanation, see AlexNet Architecture Theory
• For optimizing performance, see Hyperparameter Tuning

About This Project

This project implements the AlexNet architecture using TensorFlow 2.x and Keras API for multi-class image classification. The implementation has been modernized from TensorFlow 1.x to leverage the latest features and best practices.

Contributing

If you find any issues or have suggestions for improving this documentation, please open an issue or pull request on the GitHub repository.