Explore the next dimension in neural networks with NeuralXperience! This repository showcases ConvNeXt, a powerful framework for cutting-edge convolutional neural network architectures. Dive into the future of deep learning and unleash the potential of advanced neural networks with NeuralXperience.
ConvNeXt is a state-of-the-art deep learning framework designed to empower researchers and developers with the tools to create and experiment with advanced convolutional neural network architectures. Whether you're working on image recognition, computer vision, or other deep learning tasks, NeuralXperience provides a solid foundation for your projects.
- ConvNeXt Architecture: Discover and implement cutting-edge convolutional neural network structures.
- Versatile Applications: Suitable for various deep learning tasks, including image recognition and computer vision.
- Open Source: Feel free to contribute, modify, and adapt the framework to meet your specific needs.
- Documentation: Find comprehensive documentation to guide you through the setup and usage of ConvNeXt.
Follow these steps to get started with NeuralXperience:
- Clone the Repository:
git clone https://github.com/your-username/NeuralXperience.git