CNN Implementation: 'Richard' in C++ and Vulkan Without External Libraries
Published:Mar 15, 2024 13:58
•1 min read
•Hacker News
Analysis
This Hacker News post highlights a custom Convolutional Neural Network (CNN) implementation named 'Richard,' written in C++ and utilizing Vulkan for graphics acceleration. The project's unique aspect is the avoidance of common machine learning and math libraries, focusing on low-level control.
Key Takeaways
- •The project 'Richard' offers a novel approach to CNN implementation.
- •The use of C++ and Vulkan indicates a focus on performance and hardware-level control.
- •Excluding ML and math libraries promotes understanding and customization.
Reference
“A CNN written in C++ and Vulkan (no ML or math libs)”