Welcome to the channel!
I'm building a complete Deep Learning Framework from scratch in C and documenting every step of the journey—from tensor operations and computational graphs to autograd, backpropagation, attention mechanisms, transformers, and eventually training large language models.
This channel is not about using AI frameworks. It's about understanding how they work under the hood by building them ourselves.
What you'll find here:
• Deep Learning from First Principles
• Backpropagation & Autograd Implementation
• Computational Graphs
• Transformers & Attention Mechanisms
• Systems Programming in C
• Live Debugging Sessions
• Performance Optimization
• Building AI Infrastructure from Scratch
Whether you're a student, software engineer, or AI enthusiast, you'll get a behind-the-scenes look at the engineering challenges involved in creating modern machine learning systems.
GitHub:
github.com/umairgillani93/miniTorch
