Exploring neural network implementations, transformer architectures, and attention mechanisms from first principles.
A mathematical and conceptual deep dive into Scaled Dot-Product Attention, Multi-Head projections, and positional embeddings.
A walkthrough of implementing backpropagation, matrix operations, and activation gradients purely in NumPy.