# Changelog

All notable changes to this project will be documented in this file.

## [1.0.0] - 2024

### Added
- Neural network construction (simple and deep networks)
- CNN implementations (simple, deep, ResNet-style)
- RNN implementations (RNN, LSTM, GRU, Bidirectional)
- Transformer model architecture
- Transfer learning with pre-trained models
- GAN (Generative Adversarial Networks) implementation
- Autoencoder implementations (simple, convolutional, variational)
- Custom layers and models
- Advanced model training and optimization
- Model evaluation and metrics
- Data preprocessing pipelines
- Visualization utilities
- Model deployment strategies (SavedModel, H5, TFLite, TensorFlow.js)
- REST API server (Flask)
- Docker and Docker Compose configuration
- Configuration files (YAML, environment variables)
- Example scripts
- Test suite
- Comprehensive documentation

### Features
- Support for multiple deep learning architectures
- Comprehensive preprocessing utilities
- Advanced training techniques (callbacks, augmentation, mixed precision)
- Model evaluation and comparison tools
- Production-ready deployment options
- Containerized deployment support

## Author

**RSK World**
- Website: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277
