Show HN: Microcrad – Micrograd Reimplemented in C

Microcrad reimplements Andrej Karpathy's micrograd in C, providing an educational tool to understand the fundamentals of backpropagation and automatic differentiation. Its simplicity and focus on scalar computations make it a valuable resource for learners and developers interested in the core mechanics of neural networks without the complexities of large-scale frameworks.

• Provides an accessible, educational implementation of backpropagation in C.
• Focuses on scalar operations to illustrate fundamental autograd concepts.
• Serves as a learning tool rather than a production-ready deep learning framework.